Director of Data Engineering and Agentic AI Automation, Finance

About the TeamJoin OpenAI as the Director of Data Engineering and Agentic AI Automation, where you'll spearhead the evolution of our finance data infrastructure. As we expand our finance operations, we require robust and scalable data systems that can keep pace with our growth's intricacies. Your leadership will ensure the development of well-structured, aud…

About the RoleThe Director of Finance Systems will spearhead the strategy, implementation, and ongoing enhancement of Scale AI's financial technology framework. As a visionary leader, you will integrate enterprise architecture with AI automation to streamline workflows, strengthen the financial data infrastructure, and empower the Finance team to operate with agility and precision. In this role, you will be the key technology partner for Finance leadership, responsible for ensuring the reliability, scalability, and intelligence of all systems involved in the financial close, revenue, and spend lifecycle.Key ResponsibilitiesERP Ownership & Optimization Oversee the complete lifecycle of our ERP environment (NetSuite or equivalent), encompassing architecture, configuration, integrations, and strategic planning. Guarantee that the platform effectively supports the General Ledger, Accounts Payable (AP), Accounts Receivable (AR), Procure-to-Pay, Fixed Assets, Revenue Recognition, Sales Audit, and International Consolidations & Reporting.Order-to-Cash & Procure-to-Pay Lead the pursuit of excellence in the Order-to-Cash (Sales/Revenue Capture, Sales Audit, Billing) and Procure-to-Pay (Direct & Indirect Purchasing) processes. Detect discrepancies between upstream systems and ERP, and rectify them through meticulous integration design.AI Agent Deployment Identify and implement AI-driven solutions to automate manual finance workflows. Develop and oversee internal agents that streamline forecasting inputs, variance analysis, close task management, and reconciliation, thereby reducing cycle times and providing actionable insights for Finance leadership.Systems Integration & Data Architecture Create scalable data flows and APIs that connect the ERP with complementary finance tools (billing, expense management, FP&A, treasury) to form a cohesive, auditable ecosystem. Ensure the movement of clean, governed data from source systems to the general ledger and reporting layer.Operational Excellence & Controls Implement rigorous change management practices, clear data governance, and measurable Service Level Agreements (SLAs) across all financial systems. Stabilize environments to ensure audit readiness, SOX compliance, and adherence to regulatory requirements.Finance Stakeholder Partnership Act as the principal technology partner for the CFO, Controller, FP&A, and Accounting teams. Translate complex technical challenges into business solutions and align system roadmaps with Finance's strategic objectives.Team Leadership Assemble and lead a high-performing Finance Systems team. Cultivate a culture of curiosity, speed, and user focus, where the team takes pride in delivering clean reconciliations and efficient operations.

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in 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

About Retell AIAt Retell AI, we are pioneering the future of call centers through innovative voice AI technology. Our cutting-edge solutions are transforming how companies engage with customers.In just 18 months since our inception, we've empowered thousands of businesses with our AI voice agents that efficiently manage sales, support, and logistics calls, significantly reducing the need for large teams of human agents. Supported by industry-leading investors including Y Combinator and Alt Capital, we've grown our annual recurring revenue from $5M to an impressive $36M while expanding our team from 5 to 20 talented individuals since 2025.Our ambitious vision for 2026 is to develop a state-of-the-art customer experience platform where entire contact centers are driven by AI. Unlike basic automation requiring constant human oversight, we’re engineering intelligent AI “workers” capable of serving as frontline agents, quality assurance analysts, and managerial roles, all while optimizing customer interactions continuously.We are rapidly expanding and seeking driven builders who thrive on solving complex technical challenges, act decisively, and wish to make a tangible impact in one of the fastest-growing voice AI startups.Join us in shaping the future!Recognized as a top 50 AI application in the a16z list: https://tinyurl.com/5853dt2xRanked #4 in Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025Featured among the top startups on: https://leanaileaderboard.com/

At Gong, we leverage the power of artificial intelligence to fundamentally change the way revenue teams achieve success. Our Gong Revenue AI Operating System seamlessly integrates data, insights, and workflows into a single, reliable system that observes, guides, and collaborates with the most successful revenue teams globally. With the Gong Revenue Graph, AI-driven intelligence, specialized agents, and trusted applications, we empower over 5,000 companies worldwide to gain deep insights into their teams and customers, automate essential sales workflows, and close more deals with reduced effort. For further details, visit www.gong.io.Joining Gong means becoming part of a forward-thinking company that values innovative products, ambitious objectives, and passionate individuals. We are at the forefront of shaping the future of revenue intelligence, and we are seeking team members who are eager to build what lies ahead. You will collaborate with a team that dares to dream big, moves rapidly, and is deeply committed to both the craft and each other. Here, transparency and trust are at the core of our operations, allowing every individual to make a tangible impact. If you aspire to grow, challenge yourself, and engage in work that truly matters, Gong is the perfect place to achieve the best work of your career.We are currently seeking a Director of Go-To-Market (GTM) Systems & Infrastructure to design and oversee the systems, automation, and data infrastructure that drive our GTM organization. This pivotal role exists at the crossroads of AI, automation, internal tools, and data orchestration, aimed at accelerating revenue by transforming the operational framework of our GTM teams. You will architect and scale the robust technical foundation that interlinks our GTM systems, operational workflows, and revenue data, creating intelligent, automated processes across Sales, SDR, Customer Success, Marketing, and Partnerships.

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) is a premier online personal styling service that empowers individuals to discover and embrace their unique styles. By expertly blending skilled stylists with cutting-edge AI and recommendation algorithms, we curate an exceptional selection of both exclusive and national brands, tailored to meet each client's distinct tastes and preferences. Founded in 2011 and headquartered in San Francisco, Stitch Fix revolutionizes the way people shop, making it effortless for clients to express their personal style without the hassle of navigating through endless options in stores or online.About the TeamThe Business Systems team serves as the strategic technology and data partner for our core operations. We design and maintain the technological framework that supports our Finance, Procurement, Merchandising, and HR/People and Culture functions. By collaborating directly with business leaders, we create, implement, and enhance scalable systems while transforming our business data into a strategic asset. Our team is responsible for building and managing data engineering pipelines, analytics dashboards, and next-generation automation and Gen AI solutions that provide critical insights and empower leaders to make informed, data-driven decisions.About the RoleWe are on the lookout for a strategic Senior Engineering Manager to lead our Business Systems Data & Insights team, focusing on pivotal domains including Finance (Accounting, FP&A), Merchandising, Procurement, and HR/People & Culture. This high-impact role will allow you to shape how Stitch Fix utilizes data and AI to drive essential business decisions and influence company strategy. You will spearhead our data and AI transformation by constructing scalable data infrastructure, enhancing analytics capabilities, implementing intelligent automation, and accelerating the adoption of Gen AI across these critical business functions.

Join Pinterest as a Senior Data Scientist focusing on Generative AI Automation, where you will leverage your expertise to drive innovative solutions that enhance user experience. You will collaborate with cross-functional teams to develop models that harness the power of AI, optimizing our platform's capabilities and functionalities.Your role will involve analyzing large datasets, creating predictive models, and deploying AI-driven automation tools that support our strategic goals. We are looking for a creative thinker who is passionate about data science and AI, eager to make a significant impact in a dynamic environment.

About Us:At Notion, we empower individuals and teams to create stunning productivity tools tailored to their unique workflows. In a digital landscape crowded with applications and tabs, our platform unifies documents, notes, projects, calendars, and emails—all enhanced with AI capabilities to streamline tasks and provide quick insights. Trusted by millions, including industry leaders like Toyota, Figma, and OpenAI, Notion is chosen for its versatility, helping users optimize their time and resources.We believe in the value of in-person collaboration, making it a cornerstone of our company culture. To foster teamwork, all employees are required to work from our San Francisco office on Mondays, Tuesdays, and Thursdays—our designated Anchor Days. Certain roles may necessitate additional in-office presence.About The Role:As our company expands at an impressive pace, we are on the lookout for skilled Data Engineers to join our finance team. In this role, you will be instrumental in constructing robust datasets and data pipelines that underpin our financial reporting. Your work will bridge our product, financial, and operational systems, creating reliable processes that drive our growth. If you have a passion for data analytics, complex modeling, and innovative problem-solving, we would love to have you on board.What You'll Achieve:Develop essential datasets that act as the definitive sources for Notion’s financial reporting, integrating information from financial systems, business databases, and our product.Collaborate closely with our Finance, Monetization Engineering, Business Intelligence, and Data Science teams to address critical financial analysis and reporting requirements.Design, construct, and oversee data pipelines that not only meet current demands but are also scalable as our data needs grow.Facilitate widespread access to high-quality financial data across the Finance, Staff, and go-to-market teams.Skills You'll Need to Bring:A minimum of 4 years of experience as a data engineer, focusing on building core datasets and supporting various business sectors, particularly in product and high-volume data environments. A strong enthusiasm for analytics use cases, data modeling, and tackling intricate data challenges is essential.Experience in creating integrations and reporting datasets for payment, financial, and business systems such as Stripe, NetSuite, Adaptive, Anaplan, Salesforce, or equivalent.A proactive mindset, with the ability to gather and synthesize high-impact needs from business partners, designing and implementing suitable technical solutions.

About David AIDavid AI is a pioneering audio data research company that applies a rigorous R&D methodology to develop high-quality datasets, similar to the standards upheld by leading AI labs in model creation. Our mission is to seamlessly integrate AI into everyday life, utilizing audio as the primary medium due to its versatility and accessibility. As the demand for audio AI grows, the need for superior training data is paramount, and this is where David AI excels.Founded in 2024 by a team of former engineers and operators from Scale AI, we have quickly gained traction, partnering with notable clients from FAANG companies and various AI labs. Recently, we secured a $50 million Series B funding round from elite investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies a culture of sharp intellect, humility, ambition, and collaboration. We invite the brightest minds in research, engineering, product development, and operations to join us in pushing the boundaries of audio AI.About our Engineering TeamAt David AI, our engineering team is at the forefront of building the pipelines, platforms, and models that convert raw audio into high-quality data for top-tier AI labs and enterprises. We are a cohesive unit of product engineers, infrastructure specialists, and machine learning experts dedicated to establishing the world's first audio data research enterprise.We thrive in a fast-paced environment, taking full ownership of our projects and delivering to production on a daily basis. Our engineers design and implement real-time pipelines that manage terabytes of speech data and deploy state-of-the-art generative audio models.Your RoleAs the Director of Engineering, you will be the technical backbone of our engineering operations, driving execution across product development, infrastructure, and AI systems. You will collaborate closely with the CTO to co-create a long-term technical vision and architecture, translating it into a strategic roadmap and operational framework. Your leadership will ensure high-quality delivery while fostering a collaborative and high-velocity engineering culture. This strategic position offers significant autonomy, allowing you to influence our engineering practices from the outset.Key ResponsibilitiesArchitect and develop essential tools that assist users in interpreting audio data for model training, partnering closely with researchers to enhance data collection methodologies.Recruit, structure, and mentor the engineering team, establishing and maintaining high-performance standards.Drive the creation of innovative solutions that advance our audio AI capabilities and improve our service offerings.

Join Amplitude as a Senior Financial Analyst in our Strategic Finance team, where you will play a pivotal role in driving financial insights that shape our AI and Automation strategies. You will be responsible for analyzing complex financial data, developing forecasts, and supporting our leadership team in strategic decision-making processes. Your insights will be crucial in optimizing our financial performance and guiding our investment in innovative technologies.

Join us at Magical, where our innovative AI platform integrates intelligent "AI employees" into everyday workflows, liberating teams from tedious tasks and enhancing productivity. This transformation empowers organizations to achieve their goals faster and more effectively, especially in critical sectors such as healthcare.As a trailblazer in the shift towards agentic work, you will collaborate with a dedicated team to redefine the future of work, helping us to push the boundaries of AI technology.Our mission is supported by leading investors from OpenAI, Anthropic, Huggingface, Notion, Greylock, Coatue, Altman Capital, and Lightspeed, providing us with the resources and ambition to thrive in a rapidly evolving market.About the RoleCreate and implement agentic workflows by leveraging AI prompting along with Magical’s multi-agent platform, tailored to address unique customer challenges.Serve as a technical liaison between customers and our product and engineering teams, gathering valuable feedback to drive platform enhancements.Identify and troubleshoot issues across deployments, integrations, and performance optimizations, ensuring our solutions perform reliably in high-stakes environments such as healthcare.Contribute to the development of internal resources, including tools, documentation, and reference implementations, to streamline future client engagements and expand Magical’s multi-agent ecosystem.About YouYou possess 3+ years of experience in engineering, QA engineering, solutions engineering, or a related technical field.You are passionately curious about AI prompting, multi-agent systems, and automation. Previous experience in these areas is beneficial, but a strong foundational knowledge and a willingness to learn will help you excel.You have a proactive approach, demonstrating a readiness to take initiative and prioritize effectively.You thrive in dynamic, early-stage environments and are eager to shape our operational playbook.A background in science or engineering from your college studies is preferred (dropouts are welcome).You should be based in San Francisco or Toronto, or be open to relocation.What We Offer

Redpanda Data is building the Agentic Data Plane (ADP), a platform that connects AI agents with enterprise data and systems. The ADP supports real-time, autonomous reasoning and action by agentic applications, powered by Redpanda's multi-modal data streaming engine. Major organizations across industries, including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone, and two of the top five U.S. banks, rely on Redpanda to process hundreds of terabytes of data every day. Backed by investors such as Lightspeed, GV, and Haystack VC, Redpanda operates as a globally distributed, people-first company. Role overview The Principal Software Engineer will architect and develop the Agentic Data Plane, which serves as the control and execution layer for AI agents interacting with enterprise data. This system enables agents to access, analyze, and act on data in real time, while providing human operators with oversight and control for secure operations. The ADP brings together Redpanda's low-latency streaming technology, a distributed query engine for real-time context, a library of over 300 data connectors, and a global policy and observability framework. This framework enforces access controls, records agent actions, and supports replayable audits. What you will do Design and build the core architecture of the Agentic Data Plane, focusing on secure and efficient data interaction for AI agents. Integrate streaming, query, and policy enforcement components to support real-time, autonomous agent operations. Monitor developments in the agentic AI field and translate research into engineering proposals and product strategies. Work closely with Engineering, Product, and Go-To-Market teams, as well as key customers, to shape the direction of the ADP.

About UsZeta Global (NYSE: ZETA) is an innovative AI-driven Marketing Cloud that harnesses cutting-edge artificial intelligence (AI) and an immense array of consumer signals to streamline the process for marketers in acquiring, nurturing, and retaining customers more effectively. Our Zeta Marketing Platform (ZMP) aims to simplify complex marketing strategies by integrating identity, intelligence, and omnichannel activation into a unified platform—powered by one of the industry's largest proprietary databases and AI. Our enterprise clientele, spanning various sectors, can tailor consumer interactions on an individual basis across all channels, resulting in superior marketing outcomes. Founded in 2007 by David A. Steinberg and John Sculley, Zeta is headquartered in New York City with global offices. Discover more at www.zetaglobal.com.Role OverviewWe are seeking a proactive and skilled Agentic AI Engineer to develop bidder-adjacent agents that enhance campaign performance through RAG and tool-using workflows within a closed-loop ACE (Observe → Reason → Act → Evaluate) framework. This role transcends traditional linear model training and deployment, focusing instead on agentic decision-making, evaluation, and safety in a fast-paced AdTech environment.

Arize AI builds tools for AI and Agent Engineering observability, helping teams monitor, troubleshoot, and optimize artificial intelligence systems. The Arize AX platform brings together build, test, and run workflows in one workspace, supporting engineers as they deploy reliable AI agents and applications. With over $135M in Series C funding and a customer base that includes more than 150 enterprises and Fortune 500 companies, Arize AI works with organizations such as Booking.com, Uber, Siemens, and PepsiCo. Role overview This DevSecOps Engineer position focuses on improving IT infrastructure with an emphasis on security, compliance, and performance. The role supports Arize AI’s remote-first team, contributing to the reliability and safety of the company’s systems and processes. Location While Arize AI operates as a remote company, this role requires residence in the San Francisco Bay Area. Occasional onsite events bring the team together for collaboration and team-building.

WHO WE ARE Zeta Global (NYSE: ZETA) is an innovative AI-Powered Marketing Cloud that integrates cutting-edge artificial intelligence (AI) with vast consumer insights to streamline the process for marketers to acquire, nurture, and retain customers more effectively. Our flagship Zeta Marketing Platform (ZMP) aims to simplify advanced marketing by merging identity, intelligence, and omnichannel activation into one cohesive platform, supported by one of the industry's most extensive proprietary databases and AI capabilities. Our enterprise clients, spanning various industries, are empowered to deliver tailored experiences to consumers on an individual basis across all channels, resulting in improved outcomes for their marketing initiatives. Founded in 2007 by David A. Steinberg and John Sculley, Zeta Global is headquartered in New York City, with offices worldwide. For more information, visit www.zetaglobal.com. ROLE SNAPSHOT We are seeking a proactive Agentic AI Engineer to develop innovative bidder-adjacent agents that enhance campaign performance through RAG and tool-using workflows within a closed-loop ACE (Observe → Reason → Act → Evaluate) framework. This position diverges from traditional roles focused solely on model training and deployment; instead, it emphasizes agentic decision-making, evaluation, and safety within a fast-paced AdTech environment.

Scale GP is at the forefront of enterprise Generative AI, offering cutting-edge APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation. We empower critical workflows for leading enterprises, transforming intricate data and models into dependable, production-ready AI systems. Join our newly formed Agentic Data Products team, dedicated to creating the next generation of agent-powered tools that seamlessly integrate AI into real operational workflows. Our mission is to enable enterprises to unravel their data layers and deploy intelligent systems capable of reasoning, acting, and delivering measurable outcomes. This is a pioneering build team, and we are seeking a highly skilled, product-focused Senior Engineer who thrives in dynamic environments, acts swiftly, and relishes the challenge of constructing new systems from the ground up in collaboration with customers and cross-functional teams. You will partner closely with product managers, forward-deployed engineers, data scientists, and applied AI specialists to transform real-world challenges into scalable, production-ready solutions. If you have a passion for rapid delivery, accountability for outcomes, and enjoy working across the entire stack—from sleek front-end applications to robust distributed backends and LLM integrations—this role is perfect for you.

The future of AI — whether in training or evaluation, classical ML or agentic workflows — begins with high-quality data.At HumanSignal, we are developing a platform that facilitates the creation, curation, and evaluation of this crucial data. From tuning foundational models to validating agent behaviors in production, our tools are utilized by top AI teams to ensure models are grounded in authentic signals rather than mere noise.Our open-source product, Label Studio, has emerged as the de facto standard for labeling and evaluating data across various modalities — including text, images, time series, and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it is the most widely adopted OSS solution for teams focused on building AI systems.Label Studio Enterprise builds upon this success by offering the security, collaboration, and scalability features necessary to support mission-critical AI pipelines — powering everything from model training datasets to evaluation test sets and continuous feedback loops. We began before the prevalence of foundation models and are intensifying our efforts now that AI is changing the landscape. If you are passionate about helping leading AI teams create smarter, more accurate systems, we want to hear from you.About the RoleWe are seeking a Director of Finance to oversee the financial framework of HumanSignal, the organization behind Label Studio. In this role, reporting directly to the CEO, you will be responsible for financial planning, business analytics, and the metrics infrastructure that underpins decision-making across the company, including our SaaS and labeling services business.This is a hands-on leadership position with a broad scope. You will collaborate with the executive team on strategy and planning, work cross-functionally with product, marketing, and sales, and establish the financial infrastructure necessary for our next phase of growth. If you thrive on ownership, building from the ground up, and operating where strategy meets execution, this is the position for you.What You’ll OwnFinancial Planning & AnalysisOwn the complete P&L and free cash flow forecast; develop and maintain our long-term financial modelLead the annual and quarterly planning cycle, encompassing budgets, variance analysis, and ad-hoc modelingDeliver weekly KPI reports to the executive team and prepare board/investor reporting packages.

Join Our Innovative Applied AI LabAt cognition, we are at the forefront of applied AI, creating cutting-edge software agents. Our flagship products, Devin, the pioneering AI software engineer, and Windsurf, the AI-native integrated development environment (IDE), embody our vision of collaborative AI that empowers engineers to tackle complex challenges and pursue ambitious goals.Our elite team includes world-class competitive programmers, experienced founders, and leaders from renowned AI companies such as Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. We are a small team with a rich talent pool, dedicated to pushing the boundaries of what AI can achieve.As we continue to develop Devin and Windsurf, we invite you to help us address some of the most pressing global challenges and create AI that can reason through real-world tasks. If you're passionate about solving big problems, we would love to hear from you!Role OverviewWe are seeking a Data Engineer to take ownership of our data stack, encompassing database architecture, data pipelines, integrations, and reporting. You will design and manage systems that ensure our data is reliable, accessible, and actionable for the Finance and Accounting teams.Key Responsibilities:Design and oversee database architecture and data models tailored for finance and accounting applications.Develop and maintain ETL/ELT pipelines and orchestration workflows.Create and manage data integrations between internal and external financial systems.Collaborate with Finance and Accounting teams to establish auditable, automated reporting systems, dashboards, and datasets.Support financial close processes, FP&A workflows, and revenue reporting through scalable data infrastructure.Own business reporting, including datasets, dashboards, metrics, and self-service analytics.Ensure data quality, observability, governance, and thorough documentation.

Superhuman embraces a hybrid working model designed to offer team members the ideal balance of focused work and collaborative, in-person interactions that cultivate trust, innovation, and a vibrant team culture.About SuperhumanSuperhuman, now inclusive of Grammarly, is an AI productivity platform dedicated to unleashing the superhuman potential within everyone. Our suite of applications and agents extends AI capabilities across 1 million+ applications and websites. Our products include Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, a proactive AI assistant that intuitively understands context and provides automated support. Since our inception in 2009, Superhuman has empowered over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally to reduce busywork and concentrate on what truly matters. Discover more at superhuman.com and explore our core values here.The OpportunitiesJoin us in developing a groundbreaking platform for AI Agents, designed to collaboratively tackle complex tasks, utilizing Superhuman's intuitive UI. As a Machine Learning Engineer on this pioneering team, you will play a critical role in our company's transformation.Shape the Future of Productivity: Take on a vital role in evolving Grammarly from a cherished writing assistant into an indispensable AI-driven productivity suite for enterprises.Build an Innovative AI Agent Platform: Lead the charge in creating a new platform where multiple AI agents work together to address intricate user challenges. You will oversee the core orchestration, routing, and planning systems.Own Key ML Systems: Design and implement advanced machine learning models that enhance core product experiences, including search ranking and proactive suggestions that anticipate user needs.