Go Jobs

Clay is seeking a Machine Learning Engineer to join its centralized Learning Team. This team is responsible for building the intelligence engine that powers learning loops across the entire product. You will be instrumental in shipping intelligence features that learn from customer data and behavior, including ranking and recommendation systems, new AI products, and the underlying ML platform. This role offers a unique opportunity to shape the architecture and set standards for a new, critical team at a rapidly growing company.

Clay is seeking a Software Engineer to join our Data Products & Platform team. This role is crucial in building data products that customers use directly and the underlying systems that accelerate the development of new products. The core of our work involves creating and maintaining a live map of the working world, encompassing companies, people, jobs, and their connections. This data is dynamic and often conflicting, requiring sophisticated methods to transform fragmented information into reliable, actionable insights for our customers. You will be instrumental in expanding this map to capture more business types, relationships, and global coverage, turning these gaps into new data products that launch to thousands of customers weekly.

OpenAI

The Applied AI Engineering team is responsible for the safe and effective deployment of generative AI applications for developers and enterprises. As an Applied AI Engineer in the Digital Native segment, you will work with industry-leading technology companies to bring new AI capabilities into their products. You will partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences, combining rapid experimentation with the demands of established products. This role involves deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection through production launch and scale, influencing how OpenAI's products evolve.

Harvey

Harvey is seeking a Director of IT to lead IT Operations and Systems & Network Engineering. This role is crucial for scaling our internal technology backbone to support rapid company growth. You will be responsible for end-user support, endpoint management, identity and collaboration tools, global network infrastructure, and A/V and live production technology. The ideal candidate is a hands-on technical leader with experience scaling IT operations in a high-growth environment, who can build and develop strong engineering teams and maintain a security-first approach.

$224k - $336k

Harvey

Harvey is seeking a Director of IT to lead IT Operations and Systems & Network Engineering. This role is crucial for scaling our internal technology backbone to support rapid company growth. You will be responsible for end-user support, endpoint management, identity and collaboration tools, global network infrastructure, and A/V and live production technology. The ideal candidate is a hands-on technical leader with experience scaling IT operations in a high-growth environment, who can build and develop strong engineering teams and maintain a security-first approach.

$224k - $336k

Lambda, a leader in AI cloud infrastructure, is seeking a Senior FP&A Analyst to join their Public Cloud team. This role will be instrumental in managing and forecasting revenue, headcount, and operational expenses for the Public Cloud organization. You will partner closely with GTM leadership, Accounting, and Infrastructure Finance teams to provide critical financial insights and support strategic decision-making. The position involves analyzing customer segments, supporting pricing strategies, and reporting on internal capacity usage, all while contributing to executive-level reporting and communication. This is an opportunity to shape the financial future of a rapidly growing AI cloud company.

LangChain is seeking a business-minded Commercial Counsel to support a broad range of commercial legal work across the company's go-to-market and business operations. This role involves drafting, reviewing, and negotiating various agreements, including customer, partner, and vendor contracts, to facilitate business growth while managing legal and operational risks. The position is highly cross-functional, requiring close collaboration with teams such as Sales, Partnerships, Finance, Security, Product, and Operations. Over time, the role may expand to include partner and alliance work, as well as developing scalable contracting processes and implementing legal tech solutions like Ironclad.

$150k - $215k

Decagon is seeking a Technical Program Manager to own the delivery of complex customer deployments and drive internal cross-functional programs that enable enterprise readiness. You will collaborate with various teams including APM, Engineering, Product, Research, Security, Legal, and Go-to-Market to translate requirements into executable programs, manage dependencies, and proactively address issues. A key aspect of this role involves continuously improving operational and internal functional excellence to ensure seamless scaling as Decagon grows.

Runpod is seeking a Senior Data Engineer to join their remote-first team. This role is crucial for building and maintaining the AI Developer Cloud platform that serves over a million developers. You will be responsible for owning data pipelines end-to-end, from ingestion to data products, utilizing technologies like Snowflake, dbt, Dagster, Terraform, and AWS. The position also involves working in an AI-forward environment, delegating tasks to and extending the capabilities of autonomous AI agents, and critically reviewing their output. This is an opportunity to shape the future of AI infrastructure for the next generation of developers.

$175k - $220k

Applied Intuition is a rapidly growing company focused on powering the future of physical AI for various industries including automotive, defense, and construction. We are building the digital infrastructure to bring intelligence to moving machines. Our solutions are trusted by leading global automakers and the U.S. military. We are seeking a Data Engineer to join our team and contribute to the development of our ML infrastructure and data pipelines.

$60k - $300k

Harvey

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   Role Overview As a Senior Product Operations Manager at Harvey, you will be the connective tissue between Product, Engineering, and Go-to-Market teams — turning strategy into execution across our entire product lifecycle. You'll build and scale the operating systems that help our product teams make better decisions, ship with confidence, and drive measurable impact for law firms and in-house legal teams pushing the frontier of AI adoption. You'll work as an extension of product leadership, balancing hands-on execution with strategic initiatives. This is a role for someone who builds from 0 to 1, thrives in ambiguity, and creates structure where none exists.   What You’ll Do - Inputs to Product Teams — Ensuring teams have the information they need to make great decisions - Build and maintain Voice of Customer systems that synthesize feedback from law firm partners, in-house clients, CSMs, and sales into actionable product signals - Establish rigorous mechanisms for measuring product success and user impact, including analytics dashboards, KPIs, and clear hypotheses - Create high-leverage engagement points with customers and partners throughout the product lifecycle — from alpha through post-GA - Streamline key decision points across teams, reducing friction and improving prioritization quality Ops of the Product Org — Creating the operating systems that enable product teams to thrive - Own and improve core product development processes, tooling, and team rituals (planning cycles, monthly reviews, roadmap prioritization, etc.) - Build reliable run-of-business systems that scale as Harvey grows — launch calendars, intake frameworks, RACI structures - Drive cross-functional alignment between Product, Engineering, Marketing, Sales, and Customer Success - Facilitate roadmap planning by coordinating stakeholder inputs and maintaining transparency across the org Outputs from Product Teams — Amplifying product impact by connecting what we build to those who need it - Design and run Early Access Programs and alpha testing programs that validate product-market fit and surface refinement signals before broad release - Own launch coordination end-to-end — ensuring timely, high-confidence rollouts with clear success metrics and post-launch monitoring - Maintain cross-team roadmap visibility that keeps GTM, Legal, and leadership aligned on what's shipping and why - Make it clear across Harvey what Product is building, how it's progressing, and what's coming nextd optimize operational workflows to ensure agility and scalability as the company grows.   What You Have - 5+ years in Product Operations, Product Management, or a closely related operational role at a high growth tech or SaaS company - You've built processes and programs from scratch and scaled them thoughtfully — not just inherited and maintained them - Experience working with AI-native products, ideally in a domain where model quality and output reliability are central to the user experience - Strong ability to translate complex qualitative and quantitative data — usage metrics, feedback themes, retention signals — into clear recommendations and roadmap inputs - Proven ability to drive alignment across Product, GTM, and Engineering without direct authority - Hands-on experience with launch coordination, EAPs, or customer feedback loops in a fast-moving product environment - You're a natural bridge builder: fluent in strategy, comfortable in the weeds, and skilled at creating clarity where none exists. Ambiguity doesn't slow you down — it's where you do your best work.   Compensation Range $155,400 - $233,200 USD   Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].   #LI-CD1   Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

$155k - $233k

Applied Intuition is a rapidly growing company focused on powering the future of physical AI. We are building the digital infrastructure necessary to bring intelligence to every moving machine across various industries like automotive, defense, and construction. Our solutions are trusted by leading global automakers and military organizations. We are seeking a Software Engineer to join our team and contribute to the design, implementation, and deployment of software and machine learning components, with a particular focus on behavior prediction and environmental interactions. This role involves building scalable software for inference and decision-making in dynamic environments, optimizing data pipelines, and developing robust testing frameworks to ensure system performance and model accuracy.

$60k - $300k

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco. Our Tech, Media & Telecom team builds AI agents for critical moments, transforming customer relationships for telecommunications providers, media brands, and technology platforms. These agents help customers navigate service disruptions, product launches, and major events, aiming to personalize experiences, optimize plans, and drive loyalty.

As an Engineering Manager on the Managed AI team, you will lead and scale a team of engineers building our next-generation platform for the full lifecycle of Large Language Models (LLMs). You will guide the team through the design and implementation of highly scalable, fault-tolerant infrastructure, combining technical expertise with strong people leadership. This role is central to a fast-growing, strategically important organization where you will shape the engineering roadmap and drive the execution of key projects. Success requires close partnership with product, business, and platform stakeholders to deliver a performant and reliable platform that powers AI for customers globally.

$215k - $260k

LangChain is seeking a Solutions Engineer to join our Deployed Engineering team. This role is a hands-on, highly technical position focused on partnering with account executives to guide customers from initial technical conversations through production rollout of AI agents. You will own the technical win by scoping evaluations, designing proof-of-concepts (POCs) that mirror real-world workloads, and answering complex architecture questions. The role sits at the intersection of engineering, product, and sales, with feedback from the field directly shaping customer adoption and future product development. You will work on challenging applied AI problems in a fast-paced environment, with a direct impact on closed deals and live deployments.

$200k - $250k

Decagon is seeking a Director of Solutions Engineering to build and lead our growing pre-sales solutions engineering function. This role combines technical depth, enterprise consultative engagement, and team leadership, enabling Decagon to drive adoption of our AI-native platform across some of the world’s most complex enterprises. As the manager of the Solutions Engineering team, you will be responsible for hiring, mentoring, and developing a high-performing team of Solutions Engineers. You’ll establish scalable processes and best practices for pre-sales engagements, ensure technical excellence in customer conversations, and represent Decagon as a senior technical leader on key opportunities. This role is highly cross-functional: you will partner closely with Sales, Product, and Engineering to design strategies that align technical capabilities with customer outcomes. You will also bring strong executive presence to customer engagements, guiding both technical and business stakeholders through how Decagon integrates into their technology environments and drives measurable business value.

Decagon is seeking a Director of Solutions Engineering to build and lead our growing pre-sales solutions engineering function in EMEA. This role combines technical depth, enterprise consultative engagement, and team leadership, enabling Decagon to drive adoption of our AI-native platform across some of the world’s most complex enterprises. As the manager of the Solutions Engineering team, you will be responsible for hiring, mentoring, and developing a high-performing team of Solutions Engineers. You’ll establish scalable processes and best practices for pre-sales engagements, ensure technical excellence in customer conversations, and represent Decagon as a senior technical leader on key opportunities. This role is highly cross-functional, partnering closely with Sales, Product, and Engineering to design strategies that align technical capabilities with customer outcomes, while also bringing strong executive presence to customer engagements.

Crusoe is seeking a highly skilled Software Engineer to join their Data Center Infrastructure Engineering team. This role focuses on developing software for managing a fleet of GPU servers and the data centers that house them. The position involves creating and implementing advanced diagnostic, observability, automation, and repair tools for high-performance GPU compute clusters. The ideal candidate will be a hands-on problem solver, comfortable working independently, and will play a crucial role in maintaining the health and scalability of Crusoe's rapidly expanding GPU fleet.

$250k - $300k

Crusoe is seeking a highly skilled and motivated Software Engineer to join its Data Center Infrastructure Engineering team. This role focuses on developing software for managing a fleet of GPU servers and the data centers that house them. The position involves creating and implementing advanced diagnostic, observability, automation, and repair tools for high-performance GPU compute clusters. The ideal candidate will be a hands-on problem solver, comfortable working independently, and will play a crucial role in maintaining the health and scalability of Crusoe's rapidly expanding GPU fleet.

$215k - $260k

Applied Intuition is seeking a performance engineer to specialize in making large-scale machine learning workloads fast and cost-efficient within the datacenter. This role focuses on optimizing distributed training runs across multiple nodes and high-throughput batch inference for processing vast amounts of real-world autonomy logs. The primary goal is to improve throughput, cluster efficiency, and reduce cost per unit of data processed, directly impacting the company's iteration speed. You will be responsible for identifying and resolving performance bottlenecks across the entire stack, from accelerators to ML frameworks and data infrastructure, working collaboratively with various engineering teams to achieve significant improvements in training time and processing costs.

$60k - $300k