Applied AI Researcher - Benchmarking at Distyl | San Francisco

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems…

Join Our Innovative TeamAt OpenAI, we are pioneering the field of artificial intelligence, empowering innovation and shaping the future through transformative research. Our mission is to democratize AI, ensuring its benefits are accessible to all. We are on the lookout for forward-thinking Research Engineers to join our Applied Group, where you will convert groundbreaking research into practical applications that can revolutionize industries, enhance human creativity, and tackle complex challenges.Your Impactful RoleAs a Research Engineer within OpenAI's Applied Group, you will collaborate with some of the brightest minds in AI. Your work will involve deploying cutting-edge models in production settings, transforming theoretical breakthroughs into impactful solutions. If you are passionate about making AI technology accessible and effective, this is your opportunity to leave a significant impact.In this role, you will:Innovate and Deploy: Create and implement advanced machine learning models addressing real-world issues. Translate OpenAI's research from theory to practice, developing AI-driven applications that make a meaningful difference.Collaborate with Experts: Engage closely with researchers, software engineers, and product managers to comprehend intricate business challenges and deliver AI-based solutions. Become part of a vibrant team where creativity and ideas flourish.Optimize and Scale: Develop scalable data pipelines, fine-tune models for peak performance and precision, and ensure readiness for production. Contribute to projects that leverage state-of-the-art technology and innovative methodologies.Learn and Lead: Stay at the forefront of advancements in machine learning and AI. Participate in code reviews, share insights, and exemplify best practices to maintain high standards in engineering.Make a Difference: Oversee and maintain deployed models, ensuring they consistently deliver value. Your contributions will directly shape how AI benefits individuals, businesses, and society as a whole.You may excel in this position if you possess:A Master's or PhD in Computer Science, Machine Learning, Data Science, or a related discipline.Proven experience in deep learning and transformer models.Expertise with frameworks such as PyTorch or TensorFlow.A robust understanding of data structures, algorithms, and software engineering principles.Experience with cloud platforms and deploying machine learning models in production.

At Netic, we are revolutionizing the essential services sector with our advanced AI-driven revenue engine, which supports the backbone of the American economy.Backed by $43M in funding from illustrious investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who spearheaded our Series B, we have empowered our clients to secure hundreds of thousands of jobs across various service industries throughout North America. Our platform has enabled companies to operate with an AI-first approach.Join our innovative team of relentless builders hailing from renowned organizations like Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard. Together, we are applying frontier AI to solve complex challenges in the physical economy, where data is intricate and the results are both immediate and impactful.As an Applied AI Research Engineer, you will immerse yourself in pioneering research, gain a thorough understanding of the business functions we automate, and lead targeted machine learning projects that yield remarkable outcomes.

About Distyl AIDistyl AI specializes in creating high-performance AI systems that enhance the fundamental operational processes of Fortune 500 companies. Through a strategic alliance with OpenAI, proprietary software accelerators, and extensive expertise in enterprise AI, we deliver effective AI solutions with swift time-to-value, often within a quarter.Our innovations have empowered Fortune 500 clients in various sectors, including insurance, consumer packaged goods, and non-profit organizations. Joining our team means you will assist organizations in recognizing, developing, and extracting value from their Generative AI investments, frequently for the first time. We prioritize customer needs, working backward from the client's challenges and ensuring we generate financial benefits while enhancing the experiences of end-users.Distyl is guided by seasoned leaders from top-tier companies like Palantir and Apple and enjoys backing from prominent investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former CEO of GitHub), Brad Gerstner (Founder and CEO of Altimeter), along with board members from numerous Fortune 500 firms.What We Are Looking ForAt Distyl, we are at the forefront of leveraging AI within enterprises. We seek imaginative researchers who aspire to go beyond incremental enhancements on benchmarks and are eager to redefine the application of software in innovative ways.Our researchers hail from diverse academic disciplines but possess a robust research background, operate in an AI-centric manner, and would find conventional research environments unfulfilling.Key ResponsibilitiesThe AI Systems team is dedicated to architecting complex, comprehensive solutions that integrate perception, reasoning, planning, and execution. Researchers amalgamate various components (LLMs, retrievers, evaluators, memory systems, and execution agents) into resilient, scalable systems that deliver consistent performance across dynamic enterprise workflows.Researchers in AI Systems examine the principles governing intricate system interactions. They analyze coordination, information flow, and emergent behavior across multiple agents and models. Their research reveals the foundational mechanics of robustness, composability, and alignment, ultimately establishing the design paradigm for constructing intelligent systems.

Join fuku as an Applied Research Engineer in San Francisco, CA, where you will be at the forefront of AI video data research. As a crucial member of our team, your mission will involve building robust, high-performance frameworks and extensive pipelines to process and decode video data with exceptional accuracy. You will tackle complex research challenges, refine machine learning models and APIs, and deliver comprehensive solutions across computer vision, audio, and text processing domains. This role is designed for engineers who thrive in both research and production environments and are eager to spearhead the evolution of video understanding from research to deployment.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable, steerable representations of enterprise data.We establish trust through Crunch, a policy-driven health layer optimizing large tabular datasets for efficiency, reliability, and reversibility. Utilizing this foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures, delivering trustworthy answers and automation with integrated provenance and governance.Our MissionCurrent AI capabilities are hindered not only by model design but also by the inefficiencies of the data that supports it. At scale, each redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage groundbreaking research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructure: systems that continually enhance how information is represented and utilized by AI.Led by Prof. Andrea Montanari from Stanford, Granica’s Research group merges advances in information theory with learning efficiency in large-scale distributed systems. We collectively believe that the next significant leap in AI will originate from innovations in efficient systems, rather than merely larger models.Granica is at the forefront of developing a new category of structured AI models: foundational models designed to learn and reason from the relational, tabular, and structured data that drives the global economy. While many focus on unstructured text or media, we are venturing into the next frontier: systems capable of comprehending and reasoning over structured information.Your ContributionsCreate and prototype algorithms that form the core of structured AI, enhancing representation learning and efficient information modeling for enterprise and tabular data at petabyte scale.Develop adaptive learners merging statistical learning theory with systems optimization at scale, contributing to a new generation of foundational models for structured information.Design architectures that unify symbolic, relational, and neural components, enabling AI systems to reason directly over structured enterprise data.Construct cost models and optimization frameworks that enhance the efficiency of structured learning, both computationally and economically.

Join Fluency in Revolutionizing the Autonomous EnterpriseAt Fluency, we challenge the limits of our models' capabilities. Unlike traditional chatbot prompt engineering, we are developing advanced evaluation frameworks and research systems that gauge, enhance, and validate enterprise intelligence at an unprecedented scale.We are seeking a Research Engineer who will be instrumental in designing experiments, constructing evaluation infrastructure, and enhancing model quality for our process conformance, productivity measurement, and AI impact analysis initiatives across Fortune 500 companies.Understanding the Problem SpaceYou will be at the forefront of developing methodologies and systems that assess the effectiveness of our models. With inputs ranging from screenshots, OCR text, application metadata to behavioral signals, the data can be complex and the truth often ambiguous. Your challenge will be to create robust evaluation frameworks that quantify model performance and pinpoint areas for improvement.Key responsibilities include:Crafting evaluation pipelines to measure accuracy, precision, and recall across various classification tasks.Creating ground truth datasets utilizing ambiguous real-world enterprise data.Conducting systematic prompt engineering experiments to enhance LLM performance.Developing A/B testing frameworks for model comparisons.Investigating innovative approaches to process understanding, activity classification, and intent extraction.Evaluating cost-accuracy trade-offs across diverse model architectures and prompting strategies.Establishing automated world-model training infrastructures based on our ontology.You will be pioneering methodologies that currently do not exist; you will define the playbook.Supported by top-tier VCs like Accel and prestigious research institutions such as Princeton, we are at a pivotal moment in our journey with enterprises worldwide.In this role, you will collaborate closely with founders and our engineering team to tackle technical challenges related to LLM evaluation, experimental design, and applied research.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

About HebbiaHebbia is an innovative AI platform designed specifically for investors and bankers, empowering them to generate alpha and unlock new opportunities.Founded in 2020 by George Sivulka and backed by industry leaders like Peter Thiel and Andreessen Horowitz, Hebbia supports investment decisions for major firms including BlackRock, KKR, Carlyle, Centerview, and accounts for 40% of the world's largest asset managers. Our flagship product, Matrix, is recognized for its unparalleled accuracy, speed, and transparency in AI-driven analysis, managing assets exceeding $30 trillion globally.We provide critical insights that give finance professionals a competitive advantage by revealing signals that are invisible to the human eye and identifying hidden opportunities while expediting decision-making with remarkable speed and certainty. We aim to revolutionize the way capital is allocated, risk is mitigated, and value is generated across markets.Hebbia is not just a tool; it is the competitive edge that enhances performance, alpha, and market leadership.The TeamOur Agents team is dedicated to building sophisticated reasoning, copiloting, and retrieval capabilities that unlock significant insights for real-world applications. We develop everything from foundational document understanding features to co-piloting experiences for matrix and extensive, multi-source research. Our proprietary agentic frameworks are designed for scalability, utilizing distributed systems.We focus on creating systems that are not only successful but also reliable, explainable, and adaptable for the vast data our clients encounter. Our mission is to unveil the unknowable unknown for customers worldwide.Our goal is to create a product that becomes indispensable to our users, offering an experience as delightful as their favorite consumer products. We prioritize swift innovation and the development of first-of-their-kind systems.

About Distyl AIDistyl AI is at the forefront of developing production-grade AI systems that enhance core operational workflows for Fortune 500 companies. Our innovative solutions, powered by a strategic alliance with OpenAI and bolstered by in-house software accelerators, deliver AI systems with rapid time-to-value, often within just a quarter.Our cutting-edge products have successfully transformed the operations of Fortune 500 clients across a multitude of sectors, including insurance, consumer packaged goods, and non-profit organizations. As a member of our team, you will be instrumental in assisting companies to identify, construct, and unlock the potential of their GenAI investments, frequently for the first time. We pride ourselves on being customer-centric, addressing client challenges directly, and holding ourselves accountable for generating financial impact while enhancing the experiences of end-users.Led by distinguished leaders from prestigious organizations such as Palantir and Apple, Distyl is also supported by renowned investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (former CEO of GitHub), and Brad Gerstner (Founder and CEO of Altimeter), alongside board members from over a dozen Fortune 500 companies.

Sieve is a 15-person AI research lab in San Francisco focused on video data. The team builds exabyte-scale video infrastructure and develops new approaches for video understanding, drawing from diverse data sources to create advanced datasets. With video now accounting for most internet traffic, Sieve aims to solve the challenge of delivering high-quality training data for applications in creativity, communication, gaming, AR/VR, and robotics. The company partners with leading AI labs and has achieved strong financial results, backed by Series A funding from Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. Internship overview The Applied Research Engineering Intern will help build high-performance components and large-scale pipelines to advance video understanding at internet scale. This role involves tackling ambiguous research problems and turning them into practical solutions. Projects often cover computer vision, audio processing, and text processing. What you will do Develop and optimize models and APIs for video, audio, and text data Improve performance through pre- and post-processing, parallelism, pipelining, and inference optimization Occasionally fine-tune models for specific tasks Work through open-ended research challenges with a small, focused team Who succeeds here Comfortable working with machine learning models and APIs Skilled at optimizing systems for speed and accuracy Enjoys solving ambiguous technical problems across computer vision, audio, and text domains

Join Scale AI as a passionate and technically adept AI Research Engineer within our Enterprise Evaluations team. This pivotal role is integral to our goal of providing the industry's leading Generative AI Evaluation Suite. You will actively contribute to the foundational systems that guarantee the safety, dependability, and ongoing enhancement of LLM-driven workflows and agents for enterprise clients. The perfect candidate will possess a robust understanding of large language models, a fervor for addressing intricate evaluation dilemmas, and the ability to excel in a fast-evolving research atmosphere. We seek an engineer who can innovate, remains informed about the latest studies in AI evaluation, and is enthusiastic about incorporating cutting-edge research concepts into our workflows to create top-tier evaluation systems.

Join Our Pioneering TeamAt Sieve, we are trailblazers in the realm of AI research, specifically dedicated to harnessing the power of video data. Our cutting-edge infrastructure processes exabyte-scale video, utilizing innovative video understanding methodologies, and integrating diverse data sources to create groundbreaking datasets that redefine video modeling. With video accounting for a staggering 80% of global internet traffic, it stands as the cornerstone of digital creativity, communication, gaming, AR/VR, and robotics. Our mission is to eliminate the primary barrier to the growth of these technologies: the scarcity of high-quality training data.Having collaborated with leading AI laboratories, we achieved $XXM in revenue last quarter alone with a compact team of just 15 talented individuals. Our successful Series A funding round last year, backed by prestigious firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant, underscores our potential for exponential growth.The Role You’ll PlayAs an Applied Research Engineer at Sieve, you will be instrumental in constructing high-performance building blocks and expansive pipelines to achieve high-precision video comprehension at internet scale. Your role will often involve tackling ambiguous research challenges and devising ingenious solutions. You will engage with domains including computer vision, audio processing, and text processing.The ideal candidate will possess a strong command of models and APIs, leveraging innovative pre/post-processing techniques, parallelism, pipelining, inference optimization, and occasional fine-tuning to maximize performance.

Artificial Intelligence (AI) is rapidly transforming every aspect of our society, and at Scale, our vision is to lead this evolution by accelerating AI application development. For over eight years, we have been at the forefront of AI data innovation, propelling remarkable advancements in diverse fields such as generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding, we are enhancing the use of cutting-edge data and models to create sophisticated AI agents for enterprises globally via our Scale Generative Platform (SGP).The SGP Machine Learning team plays a crucial role in this AI revolution. We collaborate directly with clients to design and deliver state-of-the-art products, leveraging exclusive research and resources developed at Scale. As an Applied AI Engineer, you will partner with clients to devise machine learning solutions tailored to their specific business challenges. Your projects will encompass a wide range, from developing next-generation AI cybersecurity firewalls to pioneering AI-driven experiences in journalism and utilizing foundational genomic models to predict life-saving drug proteins. You will conduct daily data-driven experiments to glean insights on model performance, identifying strengths and areas for improvement to elevate product quality. If you are passionate about influencing the future of AI, we would be excited to connect with you!

Join Our Team at Distyl AIDistyl AI is at the forefront of developing advanced, production-grade AI systems that enhance operational workflows for Fortune 500 companies. Through our strategic alliance with OpenAI, proprietary software accelerators, and extensive enterprise AI expertise, we deliver effective AI solutions with rapid results, often in a matter of weeks.Our innovative products have transformed operations for clients across various sectors, including insurance, consumer packaged goods, and non-profit organizations. By joining our dynamic team, you will play a crucial role in helping clients discover, build, and leverage value from their Generative AI investments, frequently for the first time. We prioritize a customer-first approach, focusing on their challenges and holding ourselves accountable for generating financial impact while enhancing user experiences.Distyl is led by accomplished leaders from prestigious companies like Palantir and Apple, with backing from top-tier investors including Lightspeed, Khosla, Coatue, and Dell Technologies Capital, among others.Your RoleAt Distyl, we are redefining the application of AI in enterprise environments. We seek imaginative researchers who aspire to go beyond mere incremental advancements and, instead, aim to innovatively reshape how software is utilized.Our research team comprises individuals from diverse academic backgrounds with robust research accomplishments. We operate in an AI-native manner and thrive in an environment that encourages unconventional thinking.Key ResponsibilitiesSimilar to generating hypotheses in AI for scientific exploration, the System Discovery team focuses on identifying new classes of AI systems. Researchers will investigate various architectures, modalities, and combinations to discover how AI can fundamentally transform work processes.Make connections across different domains to unveil new system archetypes. Engage in experimental problem definitions and develop prototypes that facilitate novel forms of human–AI collaboration.Who You AreBroad Systems Development Experience: You possess a diverse range of experience, having built systems in various paradigms, including retrieval pipelines, reasoning agents, evaluation harnesses, multimodal integrations, or workflow graph systems, and can distill these experiences into innovative solutions.

About UsAt Applied Compute, we are pioneering Specific Intelligence for enterprises through advanced AI agents that learn continuously from organizational processes, data, and objectives. We recognize the significant gap between what AI models can achieve in isolation and their performance within actual business contexts, often failing to adapt to feedback. Our mission is to build a continual learning layer that captures context, memory, and decision traces across enterprises, creating environments where specialized agents excel at real tasks.Why Join Us? We operate at a unique intersection of product development and research. Our product team is developing the platform that empowers a new generation of digital coworkers, while our research team is advancing post-training and reinforcement learning to enhance product experiences. As applied research engineers, we work closely with customers to deploy models into production effectively. This blend of robust product focus, deep research, and customer engagement is our strategy for successfully integrating AI into enterprise operations. We are product-led, research-enabled, and strategically deployed.Meet Our Team: Our team consists of engineers, researchers, and operators, many of whom are former founders. We have established RL infrastructure at OpenAI, developed data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are backed by esteemed investors such as Benchmark, Sequoia, and Lux.Who Excels Here: We seek individuals passionate about applying innovative research and complex systems to overcome real-world challenges. Candidates should thrive in unfamiliar environments, whether it involves navigating new codebases, understanding new customer data architectures, or tackling unfamiliar problem domains. A genuine enjoyment of customer interactions—listening, empathizing, and comprehending how work is accomplished within organizations—is essential. Those with prior entrepreneurial experience, extensive side projects, or a proven ability to manage initiatives from start to finish will thrive in our culture.Your RoleAs a Research Systems Engineer, you will be responsible for training cutting-edge models and developing methodologies that facilitate continual learning within enterprise settings. You will design and execute large-scale experiments, delve into advanced reinforcement learning techniques, and create tools that enhance our understanding of the training process. This role uniquely positions you at the crossroads of research and systems engineering, where you will innovate new algorithms in collaboration with researchers and work alongside infrastructure engineers to deploy them on GPUs.

About Distyl AIDistyl AI specializes in crafting production-grade AI systems that enhance the core operational workflows of Fortune 500 companies. Through a strategic alliance with OpenAI, proprietary software accelerators, and profound enterprise AI knowledge, we deliver efficient AI solutions that ensure rapid value realization—often within a quarter.Our innovative products have empowered Fortune 500 clients across various sectors, including insurance, consumer packaged goods (CPG), and non-profit organizations. Joining our team means you will play a vital role in helping businesses identify, develop, and extract value from their investments in Generative AI for the first time. We prioritize a customer-centric approach, starting from the customer's challenges and holding ourselves accountable for delivering financial impact while enhancing the lives of end-users.Distyl is spearheaded by seasoned leaders from prestigious firms such as Palantir and Apple, and is supported by notable investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (former CEO of GitHub), Brad Gerstner (Founder and CEO of Altimeter), along with board members from numerous Fortune 500 companies.What We Are SeekingAt Distyl, we are redefining the application of AI within enterprises. We need innovative researchers who aspire to go beyond mere incremental enhancements on benchmarks or optimizing existing processes; we seek individuals eager to creatively transform how software is utilized.Our research team is composed of individuals from diverse academic disciplines, all with impressive research backgrounds. They thrive in an AI-native environment and would find traditional research organizations unchallenging.Key ResponsibilitiesThe System Self-Improvement team develops architectures that continually assess and enhance their own performance. Researchers are tasked with designing feedback-driven systems that can identify weaknesses, formulate corrective hypotheses, and autonomously implement improvements through self-reflection, retraining, or workflow adjustments. The ultimate aim is to create AI systems that compound in capability as they are used.Researchers in the Self-Improvement domain investigate how systems can construct self-models—gaining insight into when, why, and how they succeed or fail. They delve into reflective reasoning, reward modeling, and self-evaluation strategies to facilitate autonomous evolution. This research area merges reinforcement learning, interpretability, and meta-optimization to innovate continuously learning enterprise systems.

Join Distyl AI as an Applied AI Researcher in System Self-ConstructionDistyl AI is at the forefront of developing high-performance AI systems tailored for the operational needs of Fortune 500 companies. With the backing of OpenAI and a wealth of enterprise AI knowledge, we are committed to delivering AI solutions that generate tangible results in record time.Our innovative products have empowered various Fortune 500 clients across sectors, including insurance, consumer packaged goods, and non-profits. By joining our dynamic team, you will play a vital role in helping organizations harness the full potential of their Generative AI investments, often for the first time. We prioritize a customer-first approach, focusing on problem-solving and ensuring we contribute positively to both financial outcomes and user experiences.Led by industry veterans from renowned companies such as Palantir and Apple, and supported by esteemed investors like Lightspeed and Khosla, Distyl AI is positioned for substantial growth and impact.

Join Our Vision at WRITERAt WRITER, we empower the world’s foremost enterprises to harness AI-driven workflows. Our mission is to amplify human potential through groundbreaking superintelligence. We are demonstrating this vision by creating robust, reliable AI solutions that bridge the gap between IT and business, enabling transformative change across entire organizations. With our comprehensive platform, industry giants like Mars, Marriott, Uber, and Vanguard are developing and deploying AI agents that leverage their data and are powered by WRITER’s enterprise-grade LLMs. With a valuation of $1.9B and support from top-tier investors like Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is establishing itself as a frontrunner in the realm of enterprise generative AI.Founded in 2020, with office locations in San Francisco, New York City, Austin, Chicago, and London, our team is committed to innovation and agility. We are on the lookout for intelligent, diligent individuals to join us as we pave the way towards a brighter future of work through AI. Role OverviewWe are seeking an innovative and results-driven AI Transformation Leader to become a key partner for our most influential Fortune 100 clients. In this pivotal role, you will act as the change architect, guiding major organizations to fundamentally reevaluate their operational methodologies. You will bridge business strategy with cutting-edge technology, translating the capabilities of the WRITER platform into tangible financial outcomes while assisting executives in transitioning to an AI-first operational framework.This is a unique chance to craft the blueprint for enterprise AI transformation. Rather than merely overseeing accounts, you will spearhead the next industrial evolution by enabling C-suite executives to shift from AI experimentation to comprehensive value realization. Your contributions will directly influence WRITER’s product development and shape how the world’s largest brands leverage superintelligence to enhance human capabilities.This position offers a hybrid work model based out of our San Francisco office, reporting to the Director of AI Transformation and Success.‍ Key ResponsibilitiesOversee a portfolio of clients while driving ROI and value initiatives in collaboration with a Customer Success Manager focused on adoption strategies.Serve as a strategic transformation advisor for Fortune 50-100 clients by defining vision and establishing the Jobs To Be Done (JTBD) framework with leadership teams to foster AI adoption.Develop and manage executive-level relationships to ensure the effective implementation of AI initiatives that align with business objectives.