Baseten Logo

Baseten

Technical Program Manager, Forward Deployed Engineering

Posted 24 Days Ago
Hybrid
New York, NY, USA
165K-330K Annually
Senior level
Hybrid
New York, NY, USA
165K-330K Annually
Senior level
Owns the operating system for Baseten’s Forward Deployed Engineering team. Responsibilities include managing priority-account cadences, cross-team infrastructure programs, escalations, dependencies, metrics, engineering toil reduction, onboarding, capacity planning, and customer launches. The role coordinates technical teams and leadership across ML infrastructure, inference, platform engineering, Sales, and Solutions Architecture while driving accountability, risk mitigation, and clear executive communication.
The summary above was generated by AI

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

Forward Deployed Engineering is Baseten’s swat team. We’re deeply technical, great with customers and fast, and we make the platform better with everything we learn in the field. FDEs take on the hardest inference problems for our most strategic customers: novel architectures, extreme scale, tight latency budgets. Then we turn those solutions into a platform no one can match.

We’re scaling the team quickly. We need someone to build the operating system that lets a fast-growing team of engineers stay focused on hard problems instead of coordination.

This is a high-visibility role with direct exposure to our largest customers and to company leadership. You’ll shape how a new kind of engineering team operates in the AI industry.

RESPONSIBILITIES

  • Run the priority account cadence. Own the operating rhythm for our top accounts: daily hot-account check-ins, the weekly “forest view” review with leadership, and the account list itself with Sales leadership. Goal: zero surprise escalations to our execs.

  • Make the bridges work. Our FDE team connects to SA and Sales, Product, engineering (inference, infra), capacity and on-call. You’ll make sure each connection has a clear owner, cadence and SLA, with no hand-offs falling through the cracks:

    • Account transitions between solution architect and FDE, with exit criteria and runbooks

    • Non-P0 escalations to engineering teams, tracked and burned down weekly

    • Customer patterns and gaps flowing into the product roadmap

  • Drive cross-team programs for our largest customers. Coordinate multi-team efforts such as dedicated-capacity rollouts, cluster migrations, capacity reservations and large customer launches. Bring together various teams so these run on a plan, not on heroics.

  • Reduce toil and protect platform time. Track where engineering time goes: incidents another team owns, manual routing and config changes, after-hours pages. Work with engineering leads to remove the biggest sources of obstacles, so FDEs keep 30% of their time for shaping the platform.

  • Own the metrics. Build and report the metrics scorecard (account health, response times, toil, load per engineer, team health) to leadership.

  • Help us scale the team. Drive programs like new-hire enablement and certification, account load balancing, and run book coverage. Partner with Recruiting on hiring operations as we grow.

  • Manage risk and dependencies. Maintain a clear-eyed view of cross-team dependencies and risks; surface them early, drive mitigation, and keep leadership informed with honest, signal-rich updates.

  • Communicate up, down, and across. Translate between deeply technical teams and senior leadership. Run effective program reviews and write the kind of crisp statuses that let busy people make fast decisions.

REQUIREMENTS

  • 5+ years as a TPM (or engineer turned TPM) on infrastructure, cloud or customer-facing technical programs

  • Technical depth: you’re comfortable with ML Infra systems, Kubernetes, GPUs and distributed systems, and can follow an incident channel or a design doc without a translator. Experience with LLM inference is a strong plus.

  • You’ve run programs across many teams at once and kept them moving without formal authority

  • Calm in the middle of an escalation: you bring structure to chaos and close the loop

  • You write clearly and concisely, for engineers and for execs

  • High ownership, and you’d rather fix the process than work around it

NICE-TO-HAVES

  • Experience working on AI / ML Infra stack.

  • Background in solutions engineering, SRE or forward-deployed teams

WHAT SUCCESS LOOKS LIKE

  • In your first few months, you'll have taken ownership of one or more in-flight programs, established the operating rhythm they were missing, and built the trust that makes teams want you in the room.

  • Within a year, the programs you run are the ones leadership doesn't worry about, because the structure is clear, the risks are visible early, and the follow-ups always close.

BENEFITS

  • Competitive compensation, including meaningful equity

  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • (U.S. only) Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Baseten New York, New York, USA Office

New York, NY, United States

Similar Jobs

5 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
82K-105K Annually
Entry level
82K-105K Annually
Entry level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Generate and qualify enterprise sales opportunities for Samsara’s SaaS products by conducting approximately 50 daily cold calls, mapping accounts, engaging executives, and building product demand. The role requires resilience, curiosity, collaboration, and the ability to learn technical concepts and use AI in daily workflows. Successful representatives may advance to closing sales roles within two years.
Top Skills: Artificial Intelligence (Ai)Internet Of Things (Iot)Linkedin Sales NavigatorSalesforceZoominfo
6 Hours Ago
Remote or Hybrid
CA, USA
185K-327K Annually
Senior level
185K-327K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Build and operate database and storage platform software, including services, APIs, and developer tools for provisioning, migrations, upgrades, and lifecycle management. Solve scaling, performance, reliability, and data correctness challenges across databases, distributed systems, cloud infrastructure, and networking. Partner with engineering teams on schemas and platform adoption, lead technical projects through rollout, participate in on-call response, and use AI-assisted tools in development.
Top Skills: Ai-Assisted Engineering ToolsAmazon ElasticacheAPIsAWSAws AuroraBackend ServicesDynamoDBGoJavaKubernetesMySQLObservability ToolingOpensearchRedisRubyVitess
Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
155K-213K Annually
Senior level
155K-213K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead Samsara’s AI initiatives across the software development lifecycle, including developer agents and SRE AI. Manage five to ten senior engineers, set technical direction without an established roadmap, evaluate build-versus-buy decisions, control AI and infrastructure costs, scale automated incident response, and build trust in actions such as root-cause analysis, severity escalation, and deployment rollbacks. Partner directly with R&D leaders and developers while hiring, mentoring, and developing an inclusive, high-performing team.
Top Skills: Ai AgentsClaudeCloud InfrastructureCodexIotModel Context Protocol (Mcp)Sre Automation

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account