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Experience Level
Experience
Qualifications
Key qualifications include:Proven experience in AI data platform development and management. Strong expertise in data architecture, data modeling, and database design. Excellent problem-solving skills and the ability to work collaboratively in a team environment. Familiarity with machine learning algorithms and data analytics tools. Bachelor's degree in Computer Science, Data Science, or a related field.
About the job
Agiloft is looking for an AI Data Platform Lead based in the United States. This role centers on building and improving data platforms that use artificial intelligence to support business operations.
Role overview
The AI Data Platform Lead partners with teams from different areas of the company to design, develop, and refine data solutions. The focus is on using AI to make processes smarter and more efficient.
What you will do
Develop and enhance data platforms with AI-driven features
Work closely with cross-functional teams to align data solutions with business needs
Optimize data architecture for performance and scalability
Who succeeds in this role
Strong interest in artificial intelligence and data architecture
Experience collaborating across departments
Focus on driving efficiency and intelligence through technology
About Agiloft
Agiloft is a leading provider of contract lifecycle management solutions. Our platform is designed to streamline the contract process, improve compliance, and enhance collaboration across teams. We are committed to innovation and are looking for talented individuals to join our dynamic team.
Agiloft is looking for an AI Data Platform Lead based in the United States. This role centers on building and improving data platforms that use artificial intelligence to support business operations. Role overview The AI Data Platform Lead partners with teams from different areas of the company to design, develop, and refine data solutions. The focus is on u…
About Tribe AI:At Tribe AI, we are dedicated to empowering enterprises to unlock the full potential of artificial intelligence. Many large organizations aspire to leverage AI for operational transformation, yet lack the necessary capabilities. This presents a unique opportunity for us.As a pioneering AI-native services firm, we collaborate with enterprises to design and implement top-tier AI solutions that yield tangible business results. Our partnerships with industry leaders like OpenAI and Anthropic provide us with unparalleled insights into the latest models, strategies, and market approaches.Role Overview:In the capacity of a Lead AI Engineer within our Platform Team, you will play a pivotal role in enhancing our internal foundational codebase to expedite project delivery with superior quality. Your expertise will serve as a crucial link between our sales and project teams, ensuring the delivery of exceptional client outcomes while sustaining high profit margins.Key Responsibilities:Platform Development & SupportEnhance and expand our foundational codebase, known as 'Foundry', to provide reusable components for project teams.Assist project teams in maximizing the use of our platform components, achieving 50-70% code reuse.Identify and integrate successful project implementations back into the platform for future utilization.Proactively resolve bugs, performance issues, and feature gaps within the platform.Training & EnablementCreate training materials and documentation to lower productivity barriers for platform components.Design onboarding processes to facilitate rapid acclimatization for team members using the codebase.Offer hands-on support through pairing sessions and code reviews with project teams.Cross-functional CollaborationEngage with sales teams to grasp upcoming project needs and provide insights on platform capabilities.Partner with project teams throughout the delivery lifecycle to assess effectiveness and identify areas for improvement.
About Tribe AI:At Tribe AI, our mission is to empower enterprises to unlock the potential of artificial intelligence within their operations. Many large organizations aspire to leverage AI for transformative operational efficiencies, yet often lack the necessary expertise. This gap presents a unique opportunity for us to assist them.As an AI-native services provider, we collaborate with leading enterprises to create and implement cutting-edge AI products that drive significant business results. Our strategic partnerships with OpenAI and Anthropic give us unparalleled access to the latest models and go-to-market strategies in the industry.About the Role:We are looking for a seasoned Product Manager to lead our AI Platform team. In this key role, you will be responsible for ensuring that all projects utilize our platform's capabilities to significantly enhance both profitability and quality across the organization. You will spearhead our platform strategy, collaborating closely with project teams to optimize platform usage and iteratively enhance our AI functionalities.Key Responsibilities:Connect to Sales Pipeline: Work in tandem with sales teams to grasp upcoming project requirements, prioritize platform features in line with market needs, and develop value propositions that facilitate deal closure.Co-pilot Support: Collaborate directly with active project teams through one-on-one sessions to provide platform expertise and ensure effective implementation.Feedback Collection & Impact Measurement: Monitor essential metrics to quantify the platform’s value, gather user feedback, and continually enhance the platform experience.Standardize Features: Identify successful project-specific implementations that can be standardized and integrated into the core platform.ROI Analysis: Create and maintain detailed ROI models that illustrate the business advantages of platform integration across various projects.Ensure Platform Reliability: Lead efforts to enhance production reliability by managing issue resolution, coordinating with engineering teams, communicating with impacted clients, and incorporating reliability insights into the platform roadmap.About You:7+ years of product management experience, with a strong track record of successful technical product delivery.Proficient understanding of AI technologies and their applications in business contexts.Exceptional communication and collaboration skills, with a knack for translating complex concepts into actionable insights.
About the Role:At Auditdata, we recognize that over 250 million individuals globally suffer from hearing loss and often lack the essential care they need. Our innovative cloud platform is designed specifically for hearing care professionals, empowering them to fit devices, manage patient care, and efficiently run their clinics.We are excited to launch a new AI Platform team aimed at integrating advanced intelligence into our workflow. This includes features such as real-time transcription of clinical sessions, automated clinical documentation, and AI-driven processes that minimize administrative burdens, allowing clinicians to concentrate on providing top-notch patient care. This is a unique opportunity to work on greenfield projects that have a direct positive impact on patients.We are seeking a proactive and technical leader to lay the groundwork for this initiative: launching production-ready AI services, defining the system architecture, and developing a small, dynamic team.Key Responsibilities:Develop and manage AI services in production on Azure, ensuring they are reliable, observable, and cost-effective.Oversee the transcription pipeline that transforms clinical discussions into structured, actionable data.Implement LLM-powered features for documentation and data transformation, incorporating safety controls suitable for clinical environments.Establish a reusable “AI workflow layer” to facilitate the integration of AI capabilities by product teams without the need for redundant orchestration, permissions, and traceability.Define platform interfaces (APIs/SDKs) to ensure easy adoption across the engineering organization.Lead by example: mentor fellow engineers, evaluate design proposals, and elevate the overall quality of work (approximately 30% leadership and 70% hands-on work).Success Metrics:The AI Platform is recognized as a trusted internal resource utilized by multiple product teams for various AI functionalities.The transcription, LLM document generation, and agent framework are efficient, reliable, and cost-effective in a production setting.The AI platform has a clear roadmap that aligns with product objectives and architectural goals, with transparent trade-offs and priorities.You are acknowledged as the primary technical authority within the organization.
About UsAt Odyssey, we are at the forefront of artificial intelligence, specializing in pioneering general-purpose world models that represent a groundbreaking form of multimodal intelligence. These innovations unlock a plethora of applications across consumer, enterprise, and intelligence sectors. Our flagship model, Odyssey-2 Pro, exemplifies our commitment to leading this revolutionary frontier.Position OverviewWe are seeking a seasoned Data Platform Lead who will take charge of our data practices. This pivotal technical leadership role emphasizes architectural strategy and execution. The ideal candidate will possess robust data engineering skills, adept at defining a long-term architectural vision while engaging directly with coding tasks. A comprehensive understanding of the data lifecycle is essential, from collaborating with Operations for data sourcing to designing efficient data processes that optimize our world models.Key ResponsibilitiesDefine and implement the long-term technical architecture for our data platform, ensuring scalability and reliability for high-volume, multimodal datasets.Manage the complete data lifecycle from sourcing to delivery for machine learning model training.Design and construct resilient data processing pipelines, focusing on data cleaning, feature engineering, and normalization tailored for world models.Oversee the data curation system, including adaptable metadata schemas, evolving labels, and modular tagging pipelines for effective data categorization and resampling.Collaborate closely with ML Research and Engineering teams to ascertain current and future data needs, translating research requirements into actionable data infrastructure and acquisition strategies.Lead the integration of advanced quality filtering and signal analysis into the data workflow, ensuring datasets meet rigorous quality standards.Drive data acquisition strategies by evaluating various methods, aligning with budgetary constraints and quality requirements.
About UsTetraScience is a pioneering leader in Scientific Data and AI, driving the Scientific AI revolution by creating and industrializing AI-native scientific datasets. Our innovative lab data management solutions are transforming scientific use cases and yielding AI-driven outcomes.As a prominent figure in this emerging market, TetraScience has surpassed all competitors in revenue generation. In the past year, leading companies in computing, cloud, data, and AI infrastructure have recognized TetraScience as the gold standard, engaging in co-innovation and strategic partnerships. For more details, visit our Newsroom.As part of your application process, we invite you to explore the Tetra Way letter, penned by our co-founder and CEO Patrick Grady. This document is essential for understanding our core values and ethos, and we encourage you to reflect on its content to determine your alignment with our company culture. If you join our team, embodying its principles will be expected on a daily basis.Position OverviewWe are on the lookout for a Lead Software Engineer to advance our scientific search platform, moving beyond conventional keyword search to unveil cutting-edge capabilities in chemical search, semantic search, and natural language processing. You will engage in a dynamic intersection of AI/ML, cheminformatics, knowledge representation, and distributed systems, empowering scientists to access and interpret complex experimental datasets, chemical entities, assay results, and unstructured laboratory documents.As the technical leader of the Search Platform team, you will architect, design, and implement innovative search functionalities while managing the supporting infrastructure. You will set an exemplary standard for system development, mentor fellow engineers, and contribute to the strategic roadmap for search capabilities and platform enhancements. This role entails maintaining scalable and reliable services, constantly refining the platform as we broaden our search offerings. Collaboration with Applied AI Scientists, platform engineers, and product teams will be crucial in delivering high-performance search services that facilitate discovery, analysis, and decision-making throughout the bio-pharma R&D lifecycle.If you are driven by the passion to develop scalable search systems, enhance scientific retrieval, and support production-scale AI workloads, we would be thrilled to connect with you.
Data Platform Technical LeadLocation: Boston, MA (Hybrid — 2 days per week in office)Optional Location: Remote (EST)About UsClasp is a venture-backed, mission-focused startup dedicated to transforming access to education and career pathways. We are innovating the way employers attract and retain essential talent while addressing the student debt crisis. Our groundbreaking platform effectively connects employers, educational institutions, and diverse talent, using accessible education financing as a key component. We see ourselves as more than a fintech; we are a catalyst for economic mobility.Recognized as a Forbes Fintech 50 company and a portfolio entity of SHRM (the largest HR organization), Clasp has also been named one of the “43 Start Ups to Bet Your Career On in 2025” by Business Insider. Our commitment to social impact and innovation drives us to reshape the workforce's future through meaningful opportunities. Join us in empowering learners and unlocking rewarding careers that create positive change in their communities and beyond.The Role – Data Platform Technical LeadAt Clasp, our full-stack Data team is tasked with constructing and maintaining the data infrastructure that integrates our go-to-market systems, internal applications, and data warehouse. As we expand, we are restructuring the team to emphasize data orchestration, reliability, and interoperability, alongside downstream reporting and analytics. We are in search of a strong leader to spearhead the roadmap and execution of this transformation.You will take charge of designing, building, and operating the data infrastructure that ensures reliable and consistent data movement across systems, into our data warehouse, and out to analytics and consumer layers. Leading a small team, you will define SLAs, enhance observability, and establish standards. You will be empowered to act as a product owner for the “data as infrastructure” layer, collaborating closely with reporting, BI, and analytics stakeholders to ensure that data flows and semantic models meet functional needs.
At Trunk, our vision is to empower teams to produce exceptional software efficiently. We have collaborated with engineering teams at leading companies such as Google X, Zillow, and Brex to identify the root causes of build failures, tackle flaky tests, and accelerate code deployment without compromising on reliability. While AI has revolutionized code writing, the deployment process remains a bottleneck. Issues such as merge conflicts, unreliable tests, and inconsistent code quality hinder productivity and morale. Our goal is to help engineering teams maintain focus on design, implementation, and delivery, fostering a more satisfying work environment.Founded in 2021 by former engineers from Uber, Google, YouTube, and Microsoft, Trunk has successfully raised $25 million in Series A funding, led by Initialized Capital and a16z, with additional investments from notable industry figures including the founders of GitHub and Apollo GraphQL.Our CI pipelines often operate as black boxes, causing engineers to spend valuable hours troubleshooting failures that may stem from flaky tests or other infrastructural issues. Trunk aims to demystify this process by making failures visible and actionable.We are on the frontier of innovation, building a data layer that enables AI agents to analyze CI processes, diagnose failures, propose solutions, and ultimately facilitate autonomous code deployment.We are seeking a Tech Lead who will take ownership of the data platform driving our flaky test detection and CI analytics solutions. You will be responsible for designing and developing systems capable of processing millions of test runs every hour, unveiling actionable insights, and establishing the groundwork for AI-enhanced CI workflows.We are at a pivotal moment in our growth. The challenges of scalability are significant and increasing. The future of development tools is evolving with AI at its core, and we are laying the foundational data infrastructure to support this transformation. If you are passionate about solving complex systems problems that have a direct impact on customers, this role is for you.
Kontakt.io is at the forefront of revolutionizing care operations through our advanced platform. We are dedicated to minimizing waste, reducing costs, and enhancing revenue by optimizing asset utilization and boosting staff productivity. Our innovative platform leverages AI, Real-Time Location Systems (RTLS), and Electronic Health Record (EHR) data to power self-learning agents capable of automating workflows, adapting in real-time, and coordinating all aspects of care delivery operations. With seamless deployment and scalability, our solution provides unparalleled visibility into spaces, equipment, and personnel, thereby eliminating inefficiencies and elevating the patient experience. With a demonstrable 10X ROI and over 20 unique use cases, Kontakt.io is the preferred choice for enhanced and expedited care delivery operations.As the Data Platform Lead, you will be instrumental in architecting, constructing, and sustaining a robust, scalable data infrastructure. Your expertise in cutting-edge cloud and data technologies will facilitate real-time analytics, data ingestion, and machine learning applications. Your contributions will drive AI-enhanced automation, empowering healthcare facilities to increase efficiency, lower costs, and provide superior, timely care.If you are enthusiastic about developing scalable data systems, pioneering AI-driven automation, and transforming care delivery operations, we invite you to join Kontakt.io and be a part of reshaping the future of healthcare!
About Collective Collective helps solopreneurs manage business formation, bookkeeping, tax services, and community through a single, integrated platform. The company’s technology and advisor team aim to give self-employed individuals the same tax advantages as larger organizations, so members can focus on their work instead of paperwork. Collective has been featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Backers include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google’s Gradient Ventures. Role Overview: Product Lead for Core Platform & AI This role shapes the foundation of the Collective member experience. The Product Lead for Core Platform oversees core infrastructure: the unified task system, dashboard, messaging layer, and shared UI components. These elements support all vertical products at Collective. Reporting directly to the CEO, this person will build a new function from scratch. The role includes integrating AI at the platform layer and setting standards that other product teams will follow. What You Will Do Define and drive the vision, strategy, and roadmap for the Core Platform, including the unified task system, dashboard, messaging infrastructure, and common components that shape every member’s experience. Establish and maintain the System of Record for tasks and communications, ensuring all vertical product teams (Payroll, Accounting, Tax, etc.) deliver a consistent and streamlined member journey. Design the AI integration layer and develop strategies for how AI support interacts with the task framework to proactively assist members, reduce support volume, and resolve issues before human intervention is needed. Set technical standards for task schemas, notification logic, lifecycle states, and component contracts, so vertical teams can build on the platform without disrupting the member experience. Work with Internal Tools and Operations to ensure human-in-the-loop workflows have the visibility, automation, and tools needed to support members efficiently, while moving toward automated solutions where AI can handle the workload. Location San Francisco
About Quizlet:At Quizlet, we are dedicated to empowering learners to achieve their educational goals in the most effective and enjoyable manner. With our learning platform valued at over $1 billion, we cater to millions of students monthly, including a significant portion of U.S. high school and college students, facilitating over 2 billion learning interactions each month.By integrating cognitive science with cutting-edge machine learning techniques, we personalize and enhance the learning experience for students, professionals, and lifelong learners. Our enthusiasm lies in the potential to support more learners through diverse approaches and tools.Join Us in Shaping the Future of EducationBecome a part of our mission to design and deliver AI-driven learning solutions that extend globally and unlock human potential.About the Team:The AI & Data Platform team is committed to building and maintaining a robust, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the cornerstone of our AI aspirations. As we streamline our AI initiatives to create an integrated and powerful product suite, the platform team’s main focus is on operational excellence. We actively adopt and utilize top-tier MLOps and DataOps technologies to hasten innovation across Quizlet.About the Role:As a Staff AI & Data Platform Engineer, you will spearhead the design and development of Quizlet’s analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and geared for long-term success. You will collaborate closely with cross-functional teams to establish technical direction, guide architectural decisions, and mentor engineers across Data Science, ML Engineering, and Product.This position demands profound technical expertise, strategic insight, and the ability to deliver systems that enhance ML and data innovation at scale. You will gauge success through platform adoption, improvements in reliability, and outcomes related to developer productivity.We are pleased to inform you that this is an onsite position at our San Francisco office. To promote team collaboration, we ask employees to be present in the office at least three days a week: Monday, Wednesday, and Thursday, as well as as required by your manager or the company. We believe that this work environment enhances efficiency, fosters teamwork, and supports both personal and organizational growth.
Full-time|$275K/yr - $365K/yr|On-site|Cambridge, MA USA
ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence is at the forefront of innovation, advancing the legacy of Flagship Pioneering by establishing groundbreaking scientific and computational ventures. We leverage the latest advancements in artificial intelligence, machine learning, and data analytics to propel fundamental research forward, thereby creating a diverse portfolio of AI-driven companies. Our integrated approach to science, entrepreneurship, and capital enables us to transform visionary ideas into impactful enterprises, enhancing AI advancements across various sectors, including human health and sustainability. Position Summary We are seeking a dynamic Vice President of AI Data Platform to spearhead the strategic direction and development of our AI-native data technologies. This innovative platform harnesses the extensive data from our portfolio companies in collaboration with our AI scientists to deliver unique AI models and tools that benefit our portfolio. The successful candidate will work closely with scientific, technical, business, and legal teams to facilitate new AI capabilities while ensuring robust controls, trust, and compliance.
Full-time|$248.4K/yr - $310.5K/yr|On-site|San Francisco, CA; New York, NY
In an era where software is increasingly integrated with artificial intelligence, Scale AI stands at the forefront of this transformation. Our mission is to revolutionize how individuals interact with AI, enhancing human capabilities and redefining productivity. Our groundbreaking products, including the Generative AI Data Engine and SGP, empower leading enterprises and organizations to harness the power of AI through large language models (LLMs) at an unprecedented scale.As part of our innovative Platform Engineering team, you will play a pivotal role in designing and developing robust data storage, streaming, caching, and indexing systems that are essential for our AI solutions. This position offers a unique opportunity to engage with cutting-edge technologies and contribute to the evolution of AI in various sectors, including enterprise, government, and technology.
About KKR & Co. Inc. KKR & Co. Inc. is a global investment firm with expertise in alternative asset management, capital markets, and insurance solutions. The firm manages funds in private equity, credit, and real assets, and works with partners who oversee hedge funds. KKR’s insurance subsidiaries, including Global Atlantic Financial Group, provide retirement, life, and reinsurance solutions. The company emphasizes disciplined investing and long-term growth for its portfolio companies and communities. Team: ADAPT Engineering The ADAPT (AI, Data, and Platform Technologies) Engineering team shapes KKR’s core data and AI capabilities. This group designs and supports the firm’s foundational data architecture, building platform-based solutions that drive agility and measurable business results. Their work supports KKR’s global scale and ongoing business transformation. Role Overview: Lead Data Engineer - Data Platform Based in Boston, MA, the Lead Data Engineer joins the core ADAPT Engineering team in a hands-on capacity. This position calls for deep experience in modern data engineering, especially with large-scale financial datasets. The role focuses on designing and implementing advanced data engineering solutions that streamline complex data pipelines, apply AI-driven insights, and enable smooth integration across cloud-based databases. This engineer will define and optimize the technical architecture for KKR’s data structuring, storage, and usage, ensuring high standards for data integrity, performance, and accessibility across the firm. Main Responsibilities Set and lead the enterprise strategy and target-state architecture for Data Explorer, enabling scalable, governed, and user-friendly data discovery, access, sharing, and reuse throughout KKR. Develop the long-term vision, design principles, and adoption framework for enterprise data exchange capabilities, covering metadata, semantic consistency, entitlements, lineage, interoperability, and trusted data product consumption. Act as the senior technical authority for data analyst agents, guiding the development of agentic capabilities.
Join versant3 as an Equity Data Analyst, where you will leverage your analytical skills to drive insights on our AI platform. You will be responsible for analyzing equity data, developing reports, and providing recommendations based on your findings. Collaborate with cross-functional teams to enhance data-driven decision-making and contribute to innovative AI solutions.
Our PurposeAt Fiddler AI, we recognize the profound implications of artificial intelligence and its impact on human lives. Our mission is to instill trust in AI technologies. With the emergence of Generative AI and intelligent agents, the potential for generalized intelligence has expanded, but so have the associated risks. Fiddler is dedicated to assisting organizations in navigating these challenges by providing reliable and transparent AI solutions.We collaborate with AI-centric organizations to establish a sustainable framework for responsible AI practices, fostering trust among their users. AI Engineers, Data Scientists, and business teams leverage Fiddler AI to monitor, evaluate, secure, analyze, and enhance their AI solutions, facilitating improved outcomes. Our platform empowers engineering teams and business stakeholders to comprehend the 'what', 'why', and 'how' behind AI results.Our FoundersFiddler AI was co-founded by Krishna Gade, a distinguished engineering leader from Facebook, Pinterest, Twitter, and Microsoft, and Amit Paka, a product visionary with a history at Microsoft, Samsung, PayPal, and as a two-time founder. Our venture is supported by prominent investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why Join UsJoining our innovative team means contributing to the mission of embedding trust into AI, thereby helping society harness its transformative power. You will play a crucial role in ensuring that AI applications deployed at scale across various industries maintain operational transparency and security. As an early-stage startup, we are rapidly expanding and proud of our dynamic team composed of intelligent and empathetic doers, thinkers, creators, and builders. The AI and ML sector is characterized by swift innovation, offering monumental learning opportunities. This is your chance to lead the way as a pioneer in this field.Fiddler is recognized as a trailblazer in AI Observability, having earned numerous accolades such as the 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our talented team, you will contribute to shaping the future of AI Observability. The Mission:As a Staff Data Platform Engineer, you will significantly impact the safety and return on investment of large language models and agentic applications across diverse verticals and domains. You will be at the forefront of designing and developing innovative tools that enhance the performance and reliability of AI systems.
We are seeking a highly skilled and motivated Data Platform Operations Lead to oversee our data operations on a contract basis. The ideal candidate will play a crucial role in managing our data infrastructure, ensuring optimal performance, security, and scalability of our data platforms. This position offers the flexibility of remote work, allowing you to contribute from anywhere while being part of a dynamic team.
About UsAt Virtuous, we are dedicated to inspiring global generosity by empowering nonprofits to cultivate meaningful relationships with their donors. Our innovative software platform equips mid-sized charities with sophisticated tools for fundraising, marketing, volunteerism, and online donations.Our dynamic team is passionate about challenging the conventional norms within the nonprofit sector. We are driven, humble, and committed to delivering exceptional software solutions, ensuring customer success, and providing outstanding sales experiences to the world’s foremost nonprofits.We value the significance of giving back and creating a positive impact in our communities. This is why we embody radical generosity by volunteering at nonprofits or going the extra mile for our team and our clients. While we take our work seriously, we also believe in enjoying what we do.The ideal candidate for Virtuous exemplifies our core values by:Embracing curiosity and asking insightful questionsProviding constructive feedback with honesty and grace, while being open to receiving itDemonstrating a passion for philanthropy and technologyServing with joy and a willingness to contributeCelebrating the achievements and milestones of othersAssuming positive intent and showing trust in colleaguesFostering relationships with individuals from diverse backgrounds and creating a supportive environmentDiscover our core values and more here.Position SummaryVirtuous is advancing its data platform to establish an AI-ready framework that facilitates trustworthy decision-making and self-service analytics across the organization.We are seeking a Lead Data Platform Engineer to architect, develop, and take ownership of the systems that drive our data ecosystem. This position is perfect for a highly motivated self-starter who thrives in ambiguous situations and excels at the intersection of systems design, business semantics, and AI integration.
About Stack AIStack AI is an innovative no-code platform that empowers users to design, test, and deploy AI workflows using large language models. Our intuitive drag-and-drop interface enables teams to seamlessly connect data sources with AI models, facilitating the development of production-grade applications such as chatbots, document processing pipelines, and database Q&A tools, all without the need for coding.As we transition from thousands to millions of users, we require a dedicated technical leader to enhance our backend systems. This is where you come into play.The RoleWe are in search of a Staff Backend Engineer to take ownership of our platform's core infrastructure. In this pivotal technical leadership role, you will influence our architectural framework, define engineering standards, and make key infrastructure decisions that will shape the scalability of Stack AI.You will collaborate directly with our founders and product leaders, navigating the balance between speed and sustainability within our fast-paced startup environment, where your contributions will have a significant impact on the entire product.What You'll DoDesign and scale core systems — Architect, develop, and manage the backend services that drive our no-code AI platform, encompassing everything from the API layer to the data pipeline.Lead identity and authentication infrastructure — Oversee our SSO, SAML, and OIDC integrations, ensuring our authentication framework meets enterprise-level standards and scales with our growing customer base.Establish technical direction — Set forth design patterns, service boundaries, data modeling strategies, and long-term infrastructure plans.Mentor and uplift the team — Enhance team performance through design reviews, collaborative coding sessions, knowledge sharing, and the establishment of best practices throughout backend engineering.Enhance reliability and observability — Proactively identify performance bottlenecks, optimize efficiency, and advance our infrastructure to prevent issues before they escalate.What We're Looking ForRequired Qualifications6+ years of backend engineering experience, demonstrating a history of operating at the Staff level or serving as a technical lead on complex, production systems.Extensive knowledge of SSO, SAML, and OIDC — with hands-on experience in building or managing identity and authentication systems.Comprehensive understanding of identity provider (IdP) architecture and enterprise authentication methodologies.
Full-time|$180K/yr - $240K/yr|On-site|San Francisco
About Collective Collective helps solo entrepreneurs run their businesses with less hassle. Our technology and team of advisors make it easier for members to handle incorporation, accounting, bookkeeping, and taxes, all in one place. The goal: give self-employed professionals the same tax advantages as large companies, so they can focus on what matters most to them. Our work has been highlighted in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Investors backing Collective include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google's Gradient Ventures. Many have also supported brands like YouTube, Substack, and Lyft. Role Overview: AI Data Engineer Collective is looking for a Senior AI Data Engineer to build an internal data agent platform. The mission: make company data accessible to employees, so anyone can ask questions in plain English and get reliable insights or dashboards in return. This role blends AI systems, data infrastructure, and product engineering. The work goes beyond building a system, it requires attention to data integrity, consistency, and reliability throughout. The team is searching for someone who can set a technical direction, design the data architecture, and help drive adoption of these new tools across the company. What You Will Do Develop Agent Infrastructure Build systems for data retrieval, planning, and execution using real company data Enable multi-step reasoning and analytical workflows Connect the agent platform with internal tools Create an End-to-End Analytics System Develop a natural language interface for the entire data stack Allow employees to run complex analyses without SQL Manage and Enhance the Data Layer Work with product engineering teams to design and improve clean, consistent data models Continuously raise the quality and accessibility of company data Location San Francisco
Agiloft is looking for an AI Data Platform Lead based in the United States. This role centers on building and improving data platforms that use artificial intelligence to support business operations. Role overview The AI Data Platform Lead partners with teams from different areas of the company to design, develop, and refine data solutions. The focus is on u…
About Tribe AI:At Tribe AI, we are dedicated to empowering enterprises to unlock the full potential of artificial intelligence. Many large organizations aspire to leverage AI for operational transformation, yet lack the necessary capabilities. This presents a unique opportunity for us.As a pioneering AI-native services firm, we collaborate with enterprises to design and implement top-tier AI solutions that yield tangible business results. Our partnerships with industry leaders like OpenAI and Anthropic provide us with unparalleled insights into the latest models, strategies, and market approaches.Role Overview:In the capacity of a Lead AI Engineer within our Platform Team, you will play a pivotal role in enhancing our internal foundational codebase to expedite project delivery with superior quality. Your expertise will serve as a crucial link between our sales and project teams, ensuring the delivery of exceptional client outcomes while sustaining high profit margins.Key Responsibilities:Platform Development & SupportEnhance and expand our foundational codebase, known as 'Foundry', to provide reusable components for project teams.Assist project teams in maximizing the use of our platform components, achieving 50-70% code reuse.Identify and integrate successful project implementations back into the platform for future utilization.Proactively resolve bugs, performance issues, and feature gaps within the platform.Training & EnablementCreate training materials and documentation to lower productivity barriers for platform components.Design onboarding processes to facilitate rapid acclimatization for team members using the codebase.Offer hands-on support through pairing sessions and code reviews with project teams.Cross-functional CollaborationEngage with sales teams to grasp upcoming project needs and provide insights on platform capabilities.Partner with project teams throughout the delivery lifecycle to assess effectiveness and identify areas for improvement.
About Tribe AI:At Tribe AI, our mission is to empower enterprises to unlock the potential of artificial intelligence within their operations. Many large organizations aspire to leverage AI for transformative operational efficiencies, yet often lack the necessary expertise. This gap presents a unique opportunity for us to assist them.As an AI-native services provider, we collaborate with leading enterprises to create and implement cutting-edge AI products that drive significant business results. Our strategic partnerships with OpenAI and Anthropic give us unparalleled access to the latest models and go-to-market strategies in the industry.About the Role:We are looking for a seasoned Product Manager to lead our AI Platform team. In this key role, you will be responsible for ensuring that all projects utilize our platform's capabilities to significantly enhance both profitability and quality across the organization. You will spearhead our platform strategy, collaborating closely with project teams to optimize platform usage and iteratively enhance our AI functionalities.Key Responsibilities:Connect to Sales Pipeline: Work in tandem with sales teams to grasp upcoming project requirements, prioritize platform features in line with market needs, and develop value propositions that facilitate deal closure.Co-pilot Support: Collaborate directly with active project teams through one-on-one sessions to provide platform expertise and ensure effective implementation.Feedback Collection & Impact Measurement: Monitor essential metrics to quantify the platform’s value, gather user feedback, and continually enhance the platform experience.Standardize Features: Identify successful project-specific implementations that can be standardized and integrated into the core platform.ROI Analysis: Create and maintain detailed ROI models that illustrate the business advantages of platform integration across various projects.Ensure Platform Reliability: Lead efforts to enhance production reliability by managing issue resolution, coordinating with engineering teams, communicating with impacted clients, and incorporating reliability insights into the platform roadmap.About You:7+ years of product management experience, with a strong track record of successful technical product delivery.Proficient understanding of AI technologies and their applications in business contexts.Exceptional communication and collaboration skills, with a knack for translating complex concepts into actionable insights.
About the Role:At Auditdata, we recognize that over 250 million individuals globally suffer from hearing loss and often lack the essential care they need. Our innovative cloud platform is designed specifically for hearing care professionals, empowering them to fit devices, manage patient care, and efficiently run their clinics.We are excited to launch a new AI Platform team aimed at integrating advanced intelligence into our workflow. This includes features such as real-time transcription of clinical sessions, automated clinical documentation, and AI-driven processes that minimize administrative burdens, allowing clinicians to concentrate on providing top-notch patient care. This is a unique opportunity to work on greenfield projects that have a direct positive impact on patients.We are seeking a proactive and technical leader to lay the groundwork for this initiative: launching production-ready AI services, defining the system architecture, and developing a small, dynamic team.Key Responsibilities:Develop and manage AI services in production on Azure, ensuring they are reliable, observable, and cost-effective.Oversee the transcription pipeline that transforms clinical discussions into structured, actionable data.Implement LLM-powered features for documentation and data transformation, incorporating safety controls suitable for clinical environments.Establish a reusable “AI workflow layer” to facilitate the integration of AI capabilities by product teams without the need for redundant orchestration, permissions, and traceability.Define platform interfaces (APIs/SDKs) to ensure easy adoption across the engineering organization.Lead by example: mentor fellow engineers, evaluate design proposals, and elevate the overall quality of work (approximately 30% leadership and 70% hands-on work).Success Metrics:The AI Platform is recognized as a trusted internal resource utilized by multiple product teams for various AI functionalities.The transcription, LLM document generation, and agent framework are efficient, reliable, and cost-effective in a production setting.The AI platform has a clear roadmap that aligns with product objectives and architectural goals, with transparent trade-offs and priorities.You are acknowledged as the primary technical authority within the organization.
About UsAt Odyssey, we are at the forefront of artificial intelligence, specializing in pioneering general-purpose world models that represent a groundbreaking form of multimodal intelligence. These innovations unlock a plethora of applications across consumer, enterprise, and intelligence sectors. Our flagship model, Odyssey-2 Pro, exemplifies our commitment to leading this revolutionary frontier.Position OverviewWe are seeking a seasoned Data Platform Lead who will take charge of our data practices. This pivotal technical leadership role emphasizes architectural strategy and execution. The ideal candidate will possess robust data engineering skills, adept at defining a long-term architectural vision while engaging directly with coding tasks. A comprehensive understanding of the data lifecycle is essential, from collaborating with Operations for data sourcing to designing efficient data processes that optimize our world models.Key ResponsibilitiesDefine and implement the long-term technical architecture for our data platform, ensuring scalability and reliability for high-volume, multimodal datasets.Manage the complete data lifecycle from sourcing to delivery for machine learning model training.Design and construct resilient data processing pipelines, focusing on data cleaning, feature engineering, and normalization tailored for world models.Oversee the data curation system, including adaptable metadata schemas, evolving labels, and modular tagging pipelines for effective data categorization and resampling.Collaborate closely with ML Research and Engineering teams to ascertain current and future data needs, translating research requirements into actionable data infrastructure and acquisition strategies.Lead the integration of advanced quality filtering and signal analysis into the data workflow, ensuring datasets meet rigorous quality standards.Drive data acquisition strategies by evaluating various methods, aligning with budgetary constraints and quality requirements.
About UsTetraScience is a pioneering leader in Scientific Data and AI, driving the Scientific AI revolution by creating and industrializing AI-native scientific datasets. Our innovative lab data management solutions are transforming scientific use cases and yielding AI-driven outcomes.As a prominent figure in this emerging market, TetraScience has surpassed all competitors in revenue generation. In the past year, leading companies in computing, cloud, data, and AI infrastructure have recognized TetraScience as the gold standard, engaging in co-innovation and strategic partnerships. For more details, visit our Newsroom.As part of your application process, we invite you to explore the Tetra Way letter, penned by our co-founder and CEO Patrick Grady. This document is essential for understanding our core values and ethos, and we encourage you to reflect on its content to determine your alignment with our company culture. If you join our team, embodying its principles will be expected on a daily basis.Position OverviewWe are on the lookout for a Lead Software Engineer to advance our scientific search platform, moving beyond conventional keyword search to unveil cutting-edge capabilities in chemical search, semantic search, and natural language processing. You will engage in a dynamic intersection of AI/ML, cheminformatics, knowledge representation, and distributed systems, empowering scientists to access and interpret complex experimental datasets, chemical entities, assay results, and unstructured laboratory documents.As the technical leader of the Search Platform team, you will architect, design, and implement innovative search functionalities while managing the supporting infrastructure. You will set an exemplary standard for system development, mentor fellow engineers, and contribute to the strategic roadmap for search capabilities and platform enhancements. This role entails maintaining scalable and reliable services, constantly refining the platform as we broaden our search offerings. Collaboration with Applied AI Scientists, platform engineers, and product teams will be crucial in delivering high-performance search services that facilitate discovery, analysis, and decision-making throughout the bio-pharma R&D lifecycle.If you are driven by the passion to develop scalable search systems, enhance scientific retrieval, and support production-scale AI workloads, we would be thrilled to connect with you.
Data Platform Technical LeadLocation: Boston, MA (Hybrid — 2 days per week in office)Optional Location: Remote (EST)About UsClasp is a venture-backed, mission-focused startup dedicated to transforming access to education and career pathways. We are innovating the way employers attract and retain essential talent while addressing the student debt crisis. Our groundbreaking platform effectively connects employers, educational institutions, and diverse talent, using accessible education financing as a key component. We see ourselves as more than a fintech; we are a catalyst for economic mobility.Recognized as a Forbes Fintech 50 company and a portfolio entity of SHRM (the largest HR organization), Clasp has also been named one of the “43 Start Ups to Bet Your Career On in 2025” by Business Insider. Our commitment to social impact and innovation drives us to reshape the workforce's future through meaningful opportunities. Join us in empowering learners and unlocking rewarding careers that create positive change in their communities and beyond.The Role – Data Platform Technical LeadAt Clasp, our full-stack Data team is tasked with constructing and maintaining the data infrastructure that integrates our go-to-market systems, internal applications, and data warehouse. As we expand, we are restructuring the team to emphasize data orchestration, reliability, and interoperability, alongside downstream reporting and analytics. We are in search of a strong leader to spearhead the roadmap and execution of this transformation.You will take charge of designing, building, and operating the data infrastructure that ensures reliable and consistent data movement across systems, into our data warehouse, and out to analytics and consumer layers. Leading a small team, you will define SLAs, enhance observability, and establish standards. You will be empowered to act as a product owner for the “data as infrastructure” layer, collaborating closely with reporting, BI, and analytics stakeholders to ensure that data flows and semantic models meet functional needs.
At Trunk, our vision is to empower teams to produce exceptional software efficiently. We have collaborated with engineering teams at leading companies such as Google X, Zillow, and Brex to identify the root causes of build failures, tackle flaky tests, and accelerate code deployment without compromising on reliability. While AI has revolutionized code writing, the deployment process remains a bottleneck. Issues such as merge conflicts, unreliable tests, and inconsistent code quality hinder productivity and morale. Our goal is to help engineering teams maintain focus on design, implementation, and delivery, fostering a more satisfying work environment.Founded in 2021 by former engineers from Uber, Google, YouTube, and Microsoft, Trunk has successfully raised $25 million in Series A funding, led by Initialized Capital and a16z, with additional investments from notable industry figures including the founders of GitHub and Apollo GraphQL.Our CI pipelines often operate as black boxes, causing engineers to spend valuable hours troubleshooting failures that may stem from flaky tests or other infrastructural issues. Trunk aims to demystify this process by making failures visible and actionable.We are on the frontier of innovation, building a data layer that enables AI agents to analyze CI processes, diagnose failures, propose solutions, and ultimately facilitate autonomous code deployment.We are seeking a Tech Lead who will take ownership of the data platform driving our flaky test detection and CI analytics solutions. You will be responsible for designing and developing systems capable of processing millions of test runs every hour, unveiling actionable insights, and establishing the groundwork for AI-enhanced CI workflows.We are at a pivotal moment in our growth. The challenges of scalability are significant and increasing. The future of development tools is evolving with AI at its core, and we are laying the foundational data infrastructure to support this transformation. If you are passionate about solving complex systems problems that have a direct impact on customers, this role is for you.
Kontakt.io is at the forefront of revolutionizing care operations through our advanced platform. We are dedicated to minimizing waste, reducing costs, and enhancing revenue by optimizing asset utilization and boosting staff productivity. Our innovative platform leverages AI, Real-Time Location Systems (RTLS), and Electronic Health Record (EHR) data to power self-learning agents capable of automating workflows, adapting in real-time, and coordinating all aspects of care delivery operations. With seamless deployment and scalability, our solution provides unparalleled visibility into spaces, equipment, and personnel, thereby eliminating inefficiencies and elevating the patient experience. With a demonstrable 10X ROI and over 20 unique use cases, Kontakt.io is the preferred choice for enhanced and expedited care delivery operations.As the Data Platform Lead, you will be instrumental in architecting, constructing, and sustaining a robust, scalable data infrastructure. Your expertise in cutting-edge cloud and data technologies will facilitate real-time analytics, data ingestion, and machine learning applications. Your contributions will drive AI-enhanced automation, empowering healthcare facilities to increase efficiency, lower costs, and provide superior, timely care.If you are enthusiastic about developing scalable data systems, pioneering AI-driven automation, and transforming care delivery operations, we invite you to join Kontakt.io and be a part of reshaping the future of healthcare!
About Collective Collective helps solopreneurs manage business formation, bookkeeping, tax services, and community through a single, integrated platform. The company’s technology and advisor team aim to give self-employed individuals the same tax advantages as larger organizations, so members can focus on their work instead of paperwork. Collective has been featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Backers include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google’s Gradient Ventures. Role Overview: Product Lead for Core Platform & AI This role shapes the foundation of the Collective member experience. The Product Lead for Core Platform oversees core infrastructure: the unified task system, dashboard, messaging layer, and shared UI components. These elements support all vertical products at Collective. Reporting directly to the CEO, this person will build a new function from scratch. The role includes integrating AI at the platform layer and setting standards that other product teams will follow. What You Will Do Define and drive the vision, strategy, and roadmap for the Core Platform, including the unified task system, dashboard, messaging infrastructure, and common components that shape every member’s experience. Establish and maintain the System of Record for tasks and communications, ensuring all vertical product teams (Payroll, Accounting, Tax, etc.) deliver a consistent and streamlined member journey. Design the AI integration layer and develop strategies for how AI support interacts with the task framework to proactively assist members, reduce support volume, and resolve issues before human intervention is needed. Set technical standards for task schemas, notification logic, lifecycle states, and component contracts, so vertical teams can build on the platform without disrupting the member experience. Work with Internal Tools and Operations to ensure human-in-the-loop workflows have the visibility, automation, and tools needed to support members efficiently, while moving toward automated solutions where AI can handle the workload. Location San Francisco
About Quizlet:At Quizlet, we are dedicated to empowering learners to achieve their educational goals in the most effective and enjoyable manner. With our learning platform valued at over $1 billion, we cater to millions of students monthly, including a significant portion of U.S. high school and college students, facilitating over 2 billion learning interactions each month.By integrating cognitive science with cutting-edge machine learning techniques, we personalize and enhance the learning experience for students, professionals, and lifelong learners. Our enthusiasm lies in the potential to support more learners through diverse approaches and tools.Join Us in Shaping the Future of EducationBecome a part of our mission to design and deliver AI-driven learning solutions that extend globally and unlock human potential.About the Team:The AI & Data Platform team is committed to building and maintaining a robust, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the cornerstone of our AI aspirations. As we streamline our AI initiatives to create an integrated and powerful product suite, the platform team’s main focus is on operational excellence. We actively adopt and utilize top-tier MLOps and DataOps technologies to hasten innovation across Quizlet.About the Role:As a Staff AI & Data Platform Engineer, you will spearhead the design and development of Quizlet’s analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and geared for long-term success. You will collaborate closely with cross-functional teams to establish technical direction, guide architectural decisions, and mentor engineers across Data Science, ML Engineering, and Product.This position demands profound technical expertise, strategic insight, and the ability to deliver systems that enhance ML and data innovation at scale. You will gauge success through platform adoption, improvements in reliability, and outcomes related to developer productivity.We are pleased to inform you that this is an onsite position at our San Francisco office. To promote team collaboration, we ask employees to be present in the office at least three days a week: Monday, Wednesday, and Thursday, as well as as required by your manager or the company. We believe that this work environment enhances efficiency, fosters teamwork, and supports both personal and organizational growth.
Full-time|$275K/yr - $365K/yr|On-site|Cambridge, MA USA
ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence is at the forefront of innovation, advancing the legacy of Flagship Pioneering by establishing groundbreaking scientific and computational ventures. We leverage the latest advancements in artificial intelligence, machine learning, and data analytics to propel fundamental research forward, thereby creating a diverse portfolio of AI-driven companies. Our integrated approach to science, entrepreneurship, and capital enables us to transform visionary ideas into impactful enterprises, enhancing AI advancements across various sectors, including human health and sustainability. Position Summary We are seeking a dynamic Vice President of AI Data Platform to spearhead the strategic direction and development of our AI-native data technologies. This innovative platform harnesses the extensive data from our portfolio companies in collaboration with our AI scientists to deliver unique AI models and tools that benefit our portfolio. The successful candidate will work closely with scientific, technical, business, and legal teams to facilitate new AI capabilities while ensuring robust controls, trust, and compliance.
Full-time|$248.4K/yr - $310.5K/yr|On-site|San Francisco, CA; New York, NY
In an era where software is increasingly integrated with artificial intelligence, Scale AI stands at the forefront of this transformation. Our mission is to revolutionize how individuals interact with AI, enhancing human capabilities and redefining productivity. Our groundbreaking products, including the Generative AI Data Engine and SGP, empower leading enterprises and organizations to harness the power of AI through large language models (LLMs) at an unprecedented scale.As part of our innovative Platform Engineering team, you will play a pivotal role in designing and developing robust data storage, streaming, caching, and indexing systems that are essential for our AI solutions. This position offers a unique opportunity to engage with cutting-edge technologies and contribute to the evolution of AI in various sectors, including enterprise, government, and technology.
About KKR & Co. Inc. KKR & Co. Inc. is a global investment firm with expertise in alternative asset management, capital markets, and insurance solutions. The firm manages funds in private equity, credit, and real assets, and works with partners who oversee hedge funds. KKR’s insurance subsidiaries, including Global Atlantic Financial Group, provide retirement, life, and reinsurance solutions. The company emphasizes disciplined investing and long-term growth for its portfolio companies and communities. Team: ADAPT Engineering The ADAPT (AI, Data, and Platform Technologies) Engineering team shapes KKR’s core data and AI capabilities. This group designs and supports the firm’s foundational data architecture, building platform-based solutions that drive agility and measurable business results. Their work supports KKR’s global scale and ongoing business transformation. Role Overview: Lead Data Engineer - Data Platform Based in Boston, MA, the Lead Data Engineer joins the core ADAPT Engineering team in a hands-on capacity. This position calls for deep experience in modern data engineering, especially with large-scale financial datasets. The role focuses on designing and implementing advanced data engineering solutions that streamline complex data pipelines, apply AI-driven insights, and enable smooth integration across cloud-based databases. This engineer will define and optimize the technical architecture for KKR’s data structuring, storage, and usage, ensuring high standards for data integrity, performance, and accessibility across the firm. Main Responsibilities Set and lead the enterprise strategy and target-state architecture for Data Explorer, enabling scalable, governed, and user-friendly data discovery, access, sharing, and reuse throughout KKR. Develop the long-term vision, design principles, and adoption framework for enterprise data exchange capabilities, covering metadata, semantic consistency, entitlements, lineage, interoperability, and trusted data product consumption. Act as the senior technical authority for data analyst agents, guiding the development of agentic capabilities.
Join versant3 as an Equity Data Analyst, where you will leverage your analytical skills to drive insights on our AI platform. You will be responsible for analyzing equity data, developing reports, and providing recommendations based on your findings. Collaborate with cross-functional teams to enhance data-driven decision-making and contribute to innovative AI solutions.
Our PurposeAt Fiddler AI, we recognize the profound implications of artificial intelligence and its impact on human lives. Our mission is to instill trust in AI technologies. With the emergence of Generative AI and intelligent agents, the potential for generalized intelligence has expanded, but so have the associated risks. Fiddler is dedicated to assisting organizations in navigating these challenges by providing reliable and transparent AI solutions.We collaborate with AI-centric organizations to establish a sustainable framework for responsible AI practices, fostering trust among their users. AI Engineers, Data Scientists, and business teams leverage Fiddler AI to monitor, evaluate, secure, analyze, and enhance their AI solutions, facilitating improved outcomes. Our platform empowers engineering teams and business stakeholders to comprehend the 'what', 'why', and 'how' behind AI results.Our FoundersFiddler AI was co-founded by Krishna Gade, a distinguished engineering leader from Facebook, Pinterest, Twitter, and Microsoft, and Amit Paka, a product visionary with a history at Microsoft, Samsung, PayPal, and as a two-time founder. Our venture is supported by prominent investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why Join UsJoining our innovative team means contributing to the mission of embedding trust into AI, thereby helping society harness its transformative power. You will play a crucial role in ensuring that AI applications deployed at scale across various industries maintain operational transparency and security. As an early-stage startup, we are rapidly expanding and proud of our dynamic team composed of intelligent and empathetic doers, thinkers, creators, and builders. The AI and ML sector is characterized by swift innovation, offering monumental learning opportunities. This is your chance to lead the way as a pioneer in this field.Fiddler is recognized as a trailblazer in AI Observability, having earned numerous accolades such as the 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our talented team, you will contribute to shaping the future of AI Observability. The Mission:As a Staff Data Platform Engineer, you will significantly impact the safety and return on investment of large language models and agentic applications across diverse verticals and domains. You will be at the forefront of designing and developing innovative tools that enhance the performance and reliability of AI systems.
We are seeking a highly skilled and motivated Data Platform Operations Lead to oversee our data operations on a contract basis. The ideal candidate will play a crucial role in managing our data infrastructure, ensuring optimal performance, security, and scalability of our data platforms. This position offers the flexibility of remote work, allowing you to contribute from anywhere while being part of a dynamic team.
About UsAt Virtuous, we are dedicated to inspiring global generosity by empowering nonprofits to cultivate meaningful relationships with their donors. Our innovative software platform equips mid-sized charities with sophisticated tools for fundraising, marketing, volunteerism, and online donations.Our dynamic team is passionate about challenging the conventional norms within the nonprofit sector. We are driven, humble, and committed to delivering exceptional software solutions, ensuring customer success, and providing outstanding sales experiences to the world’s foremost nonprofits.We value the significance of giving back and creating a positive impact in our communities. This is why we embody radical generosity by volunteering at nonprofits or going the extra mile for our team and our clients. While we take our work seriously, we also believe in enjoying what we do.The ideal candidate for Virtuous exemplifies our core values by:Embracing curiosity and asking insightful questionsProviding constructive feedback with honesty and grace, while being open to receiving itDemonstrating a passion for philanthropy and technologyServing with joy and a willingness to contributeCelebrating the achievements and milestones of othersAssuming positive intent and showing trust in colleaguesFostering relationships with individuals from diverse backgrounds and creating a supportive environmentDiscover our core values and more here.Position SummaryVirtuous is advancing its data platform to establish an AI-ready framework that facilitates trustworthy decision-making and self-service analytics across the organization.We are seeking a Lead Data Platform Engineer to architect, develop, and take ownership of the systems that drive our data ecosystem. This position is perfect for a highly motivated self-starter who thrives in ambiguous situations and excels at the intersection of systems design, business semantics, and AI integration.
About Stack AIStack AI is an innovative no-code platform that empowers users to design, test, and deploy AI workflows using large language models. Our intuitive drag-and-drop interface enables teams to seamlessly connect data sources with AI models, facilitating the development of production-grade applications such as chatbots, document processing pipelines, and database Q&A tools, all without the need for coding.As we transition from thousands to millions of users, we require a dedicated technical leader to enhance our backend systems. This is where you come into play.The RoleWe are in search of a Staff Backend Engineer to take ownership of our platform's core infrastructure. In this pivotal technical leadership role, you will influence our architectural framework, define engineering standards, and make key infrastructure decisions that will shape the scalability of Stack AI.You will collaborate directly with our founders and product leaders, navigating the balance between speed and sustainability within our fast-paced startup environment, where your contributions will have a significant impact on the entire product.What You'll DoDesign and scale core systems — Architect, develop, and manage the backend services that drive our no-code AI platform, encompassing everything from the API layer to the data pipeline.Lead identity and authentication infrastructure — Oversee our SSO, SAML, and OIDC integrations, ensuring our authentication framework meets enterprise-level standards and scales with our growing customer base.Establish technical direction — Set forth design patterns, service boundaries, data modeling strategies, and long-term infrastructure plans.Mentor and uplift the team — Enhance team performance through design reviews, collaborative coding sessions, knowledge sharing, and the establishment of best practices throughout backend engineering.Enhance reliability and observability — Proactively identify performance bottlenecks, optimize efficiency, and advance our infrastructure to prevent issues before they escalate.What We're Looking ForRequired Qualifications6+ years of backend engineering experience, demonstrating a history of operating at the Staff level or serving as a technical lead on complex, production systems.Extensive knowledge of SSO, SAML, and OIDC — with hands-on experience in building or managing identity and authentication systems.Comprehensive understanding of identity provider (IdP) architecture and enterprise authentication methodologies.
Full-time|$180K/yr - $240K/yr|On-site|San Francisco
About Collective Collective helps solo entrepreneurs run their businesses with less hassle. Our technology and team of advisors make it easier for members to handle incorporation, accounting, bookkeeping, and taxes, all in one place. The goal: give self-employed professionals the same tax advantages as large companies, so they can focus on what matters most to them. Our work has been highlighted in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Investors backing Collective include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google's Gradient Ventures. Many have also supported brands like YouTube, Substack, and Lyft. Role Overview: AI Data Engineer Collective is looking for a Senior AI Data Engineer to build an internal data agent platform. The mission: make company data accessible to employees, so anyone can ask questions in plain English and get reliable insights or dashboards in return. This role blends AI systems, data infrastructure, and product engineering. The work goes beyond building a system, it requires attention to data integrity, consistency, and reliability throughout. The team is searching for someone who can set a technical direction, design the data architecture, and help drive adoption of these new tools across the company. What You Will Do Develop Agent Infrastructure Build systems for data retrieval, planning, and execution using real company data Enable multi-step reasoning and analytical workflows Connect the agent platform with internal tools Create an End-to-End Analytics System Develop a natural language interface for the entire data stack Allow employees to run complex analyses without SQL Manage and Enhance the Data Layer Work with product engineering teams to design and improve clean, consistent data models Continuously raise the quality and accessibility of company data Location San Francisco
