
Vercel · Hybrid - San Francisco
ABOUT VERCEL: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the w...
Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.
For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products
that help builders move from idea to production with speed, security, and exceptional developer experience.
Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built,
extended, and operated by agents.
We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers
worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll
help define what comes next.
We are looking for a Director, Field Engineering Operations to join our Revenue Operations team. In this role, you’ll architect
the systems, processes, and insights that enable a fast-growing Field Engineering organization to scale even more effectively. As
a strategic partner to the VP of Field Engineering, you will own the operational backbone that enables our Solutions Architects,
Developer Success Engineers, Customer Success Engineers, Technical Account Managers, and Professional Services teams to deliver
outsized customer impact. You will build and lead a team that brings discipline to capacity planning, territory alignment,
performance measurement, and customer lifecycle management— while constantly asking how we can use better tooling, smarter
automation, and tighter feedback loops to make the organization faster and sharper. You will report to the Head of Revenue
Operations, and the role will be hybrid in-office in San Francisco.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes
in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please
connect with our recruiting team.
that enable the SA, DSE, CSE, TAM, and Professional Services teams to operate at scale and deliver measurable customer impact.
within the FE organization and a trusted partner to FE leadership.
RACI, and engagement models as the team scales, and pressure-testing those proposals with a deep understanding of people,
process, and data.
and with sensitivity to unique regional coverage models across AMER, EMEA, and APAC.
consumption ramp measurement— building the systems, processes and insights that give leadership visibility into customer
time-to-value and FE team effectiveness.
provide actionable insights on team performance, account engagement, and customer outcomes.
customer-facing technical organizations at high-growth SaaS companies, with at least 3 years building and leading teams
Solutions Architects, Sales Engineers, Professional Services, Customer Success Engineering)
flows, reporting, and integration with ecosystem applications)
companies with $100M+ ARR
are, and translate that into a prioritized roadmap that helps us iterate, accelerate, and scale
and use it to drive operating cadences that keep teams accountable
ambiguous org-level priorities into concrete operational plans and driving them cross-functionally with Sales, Finance,
Product, and RevOps
organization
customer health scoring frameworks
and have shipped something that demonstrates it
tools, or partnering closely with GTM Engineering teams on platform builds
The San Francisco, CA base pay range for this role is $260,000-$300,000. Actual salary will be based on job-related skills,
experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation
package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on
the role. Your recruiter can share more details during the hiring process.
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the
basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital
status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for
our available positions, even if they don't necessarily check every box on the job description.
About Terranova Backed by leading deep tech VCs, Terranova builds intelligent robotic systems to terraform the Earth itself - lifting land, restoring wetlands, and protecting critical infrastructure from floods. Our mission is to preserve the built environment, create new habitats, and usher in an era of abundance. Our work supports climate resilience, disaster recovery, housing development, and defense across the United States and beyond. We’re assembling a world-class team that wants to work on something real, physical, and civilization-scale. If you want your work to reshape the world (literally), this is the place to do it. What to Expect We are looking for a COO or a VP Operations who can function as a true company operator: owning execution across engineering, field operations, manufacturing, recruiting, finance, customer delivery, and internal systems. This is a cofounder-level role at a very early company. This person will lead from the front, run an extremely tight operating cadence, and make sure the hundreds of things required to keep projects moving get done. The upside is meaningful equity, ownership, and the chance to help build one of the defining hard-tech companies of the next decade. Key Responsibilities ● Own company-wide execution across engineering, operations, deployments, hiring, finance, procurement, legal coordination, and customer delivery. ● Build and run the operating system of the company: weekly cadence, project plans, dashboards, accountability loops, and decision-making processes. ● Manage and motivate a high-intensity technical team while earning credibility with engineers, field operators, and founders. ● Drive field deployments from planning through completion, ensuring projects do not slip because of logistics, staffing, materials, permitting, vendors, or customer coordination. ● Work directly with the CEO to support fundraising, board communication, strategic planning, and company priorities. ● Support GTM and customer execution across PE firms, developers, infrastructure owners, government agencies, USACE, and other defense-adjacent customers. ● Recruit, evaluate, and help close exceptional talent across technical, operational, and commercial roles. ● Thrive at the pace and intensity of early-stage startup life, including long days, and field hours when needed. Requirements ● Exceptional operational judgment, intensity, and ownership. ● Experience leading strategy, operations, deployment, product, or company-building functions at a high-growth deep tech, robotics, aerospace, defense, infrastructure, or hardware startup. ● Ability to manage technical teams and make high-quality decisions around complex engineering and field operations, even without being the deepest technical expert in the room. ● Strong comfort with customers, investors, board members, vendors, and government / defense stakeholders. ● Willingness to work on-site in Berkeley, CA. ● U.S. work authorization. We cannot sponsor H-1B visas at this time. Preferred Skills & Experience ● Prior experience as a VP / Director / Head of Strategy or Operations at a deep tech company. ● Prior experience as a COO, CPO, CTO, VP Ops, or GM experience at a Series B or later hardware startup. ● Experience deploying products that are hard to sell and hard to build. ● Founder or founder-level operating experience. Important to have seen 0->1. ● Strong finance, strategic planning, and fundraising fluency. Ideal Archetype ● A high-aptitude operator 3-15 years into their career who has already scaled unusually fast. They need to be the smartest person at our company. Wicked, cunning, fluent in the dark arts, blurry in pictures. ● Someone who could plausibly be a founder, but who chooses our rocket ship over starting from zero. ● Has built or run something real in robotics, aerospace, defense, infrastructure, construction tech, or complex hardware. ● Can walk into a messy early-stage company, create order, raise the bar, and make everyone more intense and effective. ● Has enough technical taste to manage engineers, enough commercial judgment to help sell, and enough operational force to keep the whole machine moving. ● Comes from a flagship deep tech company, an Elon-founded company, or a serious venture-backed hardware company. We are optimizing for aptitude, intensity, and company pedigree over title.
CSQ227R77 PLEASE NOTE: Due to federal contract requirements and client site access obligations, an active U.S. government security clearance is required. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active secret or higher clearance are strongly encouraged to apply. MISSION The Public Sector AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally to shape long-term strategic priorities and initiatives alongside AI Product, Research, and Engineering. We are looking for a world-class leader to lead and grow our AI FDE Public Sector team. In this role, you will lead public sector customers on their AI transformation with Databricks, push the boundaries of our product, recruit and develop top AI engineers, and manage a portfolio of key accounts. You will report directly to the Head of Public Sector, FDE. THE IMPACT YOU WILL HAVE: * Lead and scale a world-class AI FDE team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale * Develop and expand executive relationships with key customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations * Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions * Lead strategic AI initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team * Shape cross-functional collaboration by influencing Product, R&D, and GTM, ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy * Own OKRs for AI-services led accounts, revenue, utilization, and public references * Represent Databricks as a thought leader in AI WHAT WE LOOK FOR: * Passion for transforming the public sector with data and AI * Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders * Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments * Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field * Experience leading teams building cutting-edge production AI solutions in cloud environments (AWS, Azure, or GCP) * Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements * Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI * “Company-first” mindset * Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Preferred: * Experience in a customer-facing consulting or professional services leadership role * Experience working with Databricks Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $232,900—$320,200 USD 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.
REQ ID: CSQ427R198 Location: Amsterdam, Netherlands - Remote MISSION The Forward Deployed AI Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first of its kind AI applications with a focus on GenAI. We work cross-functionally to shape long-term strategic priorities and initiatives alongside AI/ML Product, Research, and Engineering. We are looking for a world-class leader to lead and grow our EMEA AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Head of EMEA AI FDE. This role can be remote in Europe, but the preference is for candidates to be near a major office location such as London, Amsterdam, Paris, or Munich. Candidates should expect to travel at least once a month. THE IMPACT YOU WILL HAVE: * Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale * Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations * Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions * Lead strategic AI PS initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team * Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy * Own OKRs for AI-services led accounts, revenue, utilization, and public references * Represent Databricks as a thought leader in AI/ML WHAT WE LOOK FOR: * Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders * Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments * Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field * Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP) * Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements * Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML * “Company-first” mindset * Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Preferred: * Experience in a customer-facing consulting or professional services leadership role * Experience working with Databricks 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.