
H · Hybrid SF/Bay Area
FORWARD DEPLOYED ENGINEER What we're looking for: • Individuals with impressive achievements and great technical skills, highly proficient in Python . • A...
About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded
to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive
real-world outcomes across industries.
The Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and
optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our
products by distilling learnings from the field into the H platform.
That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for
a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.
Understand and identify customer’s most important and impactful multi-step task to automate
Seamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc.
Rapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution delivery
Architect, build, and maintain production-grade services that scale with usage and complexity
Collaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings
in the field
3+ years of professional AI+software engineering experience, ideally in fast-paced environments (e.g., startups, consulting, or
product teams), or otherwise proven technical acumen through projects and past experiences
Experience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real products
Heavy fluency in Python and familiarity with Typescript
Familiarity with backend (FastAPI, Next.js…) and frontend (React…) frameworks and a good sense of UI/UX tradeoffs
Experience building and deploying production systems: APIs, services, infrastructure, and/or data pipelines
Proficiency in integrating third-party APIs, databases, and external systems in a secure and reliable way
Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments
Excellent communication skills, both written and verbal
Bias for action: able to ship quickly, iterate fast, and own the full lifecycle of solutions
Willingness to travel for on-site deployments or customer engagements
H's teams are distributed throughout Paris, France, London, UK, and the US.
This role can be based either in SF, Bay area, CA, Austin, TX, or NY.
Base salary range: $150,000 to $200,000 based on experience.
Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a
high-trust, high-impact environment.
Enjoy a competitive compensation package, including equity.
About H: H Company builds computer-use agents that handle complex enterprise workflows without API access or custom integrations. Backed by $220M and built by researchers from Google DeepMind, Meta, and Palantir, we're bringing that technology to the US market through a Forward Deployed Engineer model that prioritizes outcomes over demos. We're early, we're moving fast, and we need pipeline. Your role: You own the top of the funnel. That means two things simultaneously: running a disciplined account-based motion across 120 named accounts in financial services and healthcare, and making sure H shows up at the 10 trade events on our 2026 calendar with meetings already booked before we land. Neither of those is a support function. Both are yours to own. This is not a campaign execution job. It is a pipeline sourcing job with a marketing methodology. The person who thrives here has a strong opinion about which accounts to prioritize, knows how to build a sequence that gets replies from a VP Finance at a regional health payer, and can set up a Clay workflow to enrich 500 accounts over a weekend without asking for help. What you'll do * Run the ABM motion for 120 named accounts across two verticals — healthcare payers and enterprise finance — working closely with the VP Sales on account prioritization, contact mapping, and sequence design. You build the list, enrich it, write the outreach, track engagement, and hand warm accounts to sales with context. * Own conference pipeline for 10 events across AHIP, Becker's, Gartner CFO, AICPA ENGAGE, AWS Summit, and others. That means pre-event outreach to confirmed attendees, meeting scheduling before the show opens, and post-event follow-up that doesn't let warm conversations go cold. * Build and operate the tool stack. We use Clay, Apollo, Bombora, LinkedIn Sales Navigator, and HubSpot. If you think something is missing or broken, fix it or propose a replacement. * Measure what matters. Meetings sourced, accounts engaged at each tier, event-attributed pipeline, sequence reply rates. You own the reporting. What we are looking for: * 3 to 6 years running ABM or demand generation at a B2B SaaS or enterprise AI company. You've owned a named-account list and can describe what happened to it — what worked, what didn't, and what the pipeline numbers were. * Real fluency with Clay, Apollo, and agentic enrichment workflows. "Familiar with" is not the bar. You should be able to build a multi-source enrichment waterfall, write a personalization variable from a scraped signal, and troubleshoot a broken webhook. We are an AI company and we expect you to use AI tools like a practitioner, not a tourist. * Experience running event pipeline, not event logistics. You've done the pre-show outreach, booked the meetings, and tracked what converted. Conference coordination is not the skill — meeting sourcing is. * Strong written voice. The accounts on this list are CFOs, Controllers, and VP-level operations leaders at Fortune 500 companies. Your outreach has to earn a reply from someone getting 40 AI vendor emails a week. * Comfort operating in ambiguity at an early-stage company. There is no established playbook here. You'll help write it. Location: * Remote from the US, ideally in the Bay area What we offer * Base salary $110,000 to $140,000 depending on experience. * Annual bonus of 15-20% tied to pipeline metrics. * Equity participation in H's US option plan. * Remote-first with occasional travel to conferences and company events.
IMPLEMENTATION STRATEGIST About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries. About the Team: The Implementation Strategist is the strategic link between customer and our engineering team. Your key stack is understand where the biggest customer problem stand and help find the right Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform. That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks. Key Responsibilities: * Dig into the data to understand and identify customer’s most important and impactful multi-step task to automate * Be the Go To person for the customer * Partner with Forward Deployed Engineer to Seamlessly integrate our solutions * Coordinate trainings to ensure our solution best usage * Build and deliver demos and present results to strategic audience Requirements: * 3+ years of selling and implementing complex IT solutions to customers * A double curriculum in Business and Engineering school would be ideal * Technical Experience working with AI/ML systems would be appreciated * Fluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-) * Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments * Excellent communication skills, both written and verbal * Bias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutions * Willingness to travel for on-site deployments or customer engagements Location: * H's teams are distributed throughout France, the UK, and the US * This role is currently in the US - Preferably in San Francisco Bay area, NY or Austin, * You are expected to travel up to 50% of the time What We Offer: * Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems. * Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment. * Enjoy a competitive compensation package, including salary and equity * Unlock opportunities for professional growth, continuous learning, and career development
CSQ327R45 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * Extensive experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.