Baseten

Technical Program Manager

• Own complex migrations end to end. Lead large-scale infrastructure migrations across teams and domains. This will involve scoping the work, sequencing dependencies, managing risk, and driving them to completion without surprises.
• Drive process across infrastructure. Establish and run the operating rhythms that keep programs healthy: planning cadences, status reporting, decision logs, risk reviews, and escalation paths. Make the process light enough that teams adopt it and rigorous enough that it actually works.
• Help managers build the right structures. Partner with engineering managers and leads to design the team structures, ownership boundaries, and working models a program needs to succeed. Spot gaps in accountability before they become problems.
• Own follow-ups relentlessly. Be the person who tracks every open item, owns the action register, and closes loops. Drive decisions and unblockers to resolution rather than letting them drift.
• Create clarity from ambiguity. Take loosely defined goals and turn them into scoped, sequenced, resourced plans with clear owners and measurable milestones.
• 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 status that lets busy people make fast decisions.

Technical Program Manager, Infrastructure

Engineering Manager

• Recruit, hire, and develop a high-performing team of systems engineers with deep container and Linux expertise.
• Foster a culture of technical rigor, open-source contribution, and continuous improvement.
• Provide regular coaching, feedback, and career development support to your direct reports.
• Partner with engineering leadership to define the long-term vision and roadmap for container runtime and storage infrastructure.
• Guide the team in extending and hardening containerd, runc, and related OCI ecosystem projects to meet the GPU-specific requirements of production AI inference, including startup performance, GPU device access, and multi-tenant isolation.
• Oversee the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery system that makes cold starts 2–3x faster and eliminates thundering herd failures during burst scaling events.
• Drive the expansion of BDN's architecture, currently focused on model weights, to container images, training checkpoints, and deployment artifacts.
• Provide technical oversight on GPU-aware isolation mechanisms for multi-tenant inference, including secure container runtimes, Linux namespace hardening, and longer-term micro-VM integration.
• Ensure the team maintains end-to-end ownership of the container startup performance path, from snapshotter initialization through weight delivery to first inference request.
• Champion the team's contributions back to the open-source containerd ecosystem alongside a team of core maintainers.
• Act as the primary advocate for Runtime Fabrics across the organization, ensuring upstream and downstream teams have the integration support they need.
• Collaborate with product and engineering stakeholders to prioritize investments based on business impact and infrastructure reliability.
• Communicate team progress, technical trade-offs, and architectural decisions clearly to leadership.

Engineering Manager – Runtime Fabric

Financial Planning and Analysis

• Support company-wide financial planning, forecasting, and budgeting processes
• Build and maintain operating and financial models across revenue, infrastructure costs, hiring, and strategic initiatives
• Help prepare board materials, investor updates, and fundraising analyses
• Partner with business leaders to evaluate investments, acquisitions, pricing, growth initiatives, and operational tradeoffs
• Analyze consumption and infrastructure metrics including ARR, gross margin, usage trends, retention, and efficiency metrics
• Drive ad hoc strategic projects including market analysis and scenario planning
• Improve financial reporting processes, dashboards, and operational rigor as the company scales
• Act as key data and modeling lead on reporting and analysis
• Assist with finance operations, procurement, and vendor management as needed
• Work cross-functionally to turn ambiguous business questions into actionable insights

Strategic Finance Associate – Sr. Associate

General Counsel

• Own the legal side of contract lifecycle management — intake, routing, templates, repository, and reporting — in close coordination with RevOps and Sales Ops, whose Order Form, CPQ, and contract-management systems the legal workflow flows from
• Partner with RevOps and Sales Ops as the legal lead on Order Form, CPQ, and contract-management decisions, stepping in to drive these cross-functional workstreams on the CLO's behalf
• Design and run the legal intake and triage workflow (today, a Slack-based, human-in-the-loop pipeline), continuously improving how requests are classified, drafted, reviewed, and closed
• Lead legal-technology and AI strategy with a bias toward building over buying: design and build AI-assisted and agentic workflows (e.g., Claude Cowork) before reaching for off-the-shelf tools, while bringing sharp vendor-selection judgment to the systems worth buying
• Build the data and reporting layer — cycle times, deal volume, risk snapshots, program health — that gives the CLO and leadership a clear line of sight
• Own knowledge management: keep playbooks, briefs, and templates current, versioned, and findable, and make them the source of truth for the team and the business
• Manage outside counsel operations and the legal budget — panel management, engagement, spend tracking, matter management — with an eye on scope and cost
• Build and run the operational cadences (intake SLAs, approval gates, cross-functional handoffs with Sales, Finance, and Security) that keep the function fast and accountable
• Partner with the CLO to design the operating model as the team grows toward IPO, and own program management of legal initiatives end to end
• May assist on M&A and other strategic or one-off transactions as needed — e.g., diligence, data-room, and integration operations

Head of Legal Operations

• Own and lead negotiations for GPU compute, cloud capacity, and infrastructure-services agreements across Baseten's multi-provider stack, building flexibility, exit optionality, and enforceable SLAs in before they're needed
• Lead colocation, power, datacenter, and network contracting, including the operational and resilience terms that keep production sites online
• Map concentration risk and long-lead dependencies across the vendor portfolio and identify where structural changes unlock flexibility — partnering with Finance on sizing and minimum-commitment terms and with Security on datacenter access and regulated-infrastructure requirements
• Manage the legal dimensions of strategic infrastructure and hardware relationships, including arrangements where a counterparty plays more than one role
• Apply export and trade-control flow-downs (e.g., end-use / end-user terms) in compute and hardware agreements, under the policy and screening framework owned by AI, Privacy & Governance
• Build the template library, SLA-credit playbooks, and intake workflows so Procurement and Infra teams can self-serve standard transactions at scale
• May assist on other related transactions involving the financing and procurement of compute and capacity
• May support the partnership and strategic-relationship workstreams behind Model Labs / Frontier Gateways and other key initiatives
• May assist on M&A, vendor-integration, and other strategic or one-off transactions, including diligence on inherited infrastructure agreements and continuity of critical supply post-close
• Pitch in on customer and Sales deals alongside the broader legal team, and escalate novel terms that create downstream risk to availability or operational flexibility

Assistant General Counsel, Infrastructure & Compute

• Own the full lifecycle of enterprise commercial agreements — MSAs, order forms, DPAs, BAAs, SOWs, and NDAs — at volume, as the primary legal partner to Sales and GTM throughout the deal cycle
• Serve as product counsel to the business: advise on how inference, multi-tenancy, model deployment, data flows, and SLAs map to contract terms, and translate technical architecture into risk positions Sales and customers can act on
• Own the commercial and legal terms for model marketplace and model distribution agreements, including the allocation of responsibility between Baseten and model providers
• Lead the legal workstream for go-to-market and strategic partnerships, structuring collaboration, reseller, and co-sell arrangements that protect Baseten's IP and independence while unlocking distribution
• Build, own, and continuously improve Baseten's commercial templates, playbooks, and standard positions against market feedback and leadership risk appetite
• Partner with Finance on revenue recognition and non-standard deal structures, and with Security and Compliance on data protection, regulated-data, and security commitments in customer contracts
• Drive deal velocity — know which terms to hold, which to trade, and how to explain the difference to an AE, a CFO or the CLO
• Advise the CLO on commercial and contractual risk, and proactively advocate for changes to Baseten's positions, playbooks, and risk posture as the product and market evolve
• May assist on M&A and other strategic or one-off transactions as needed
• Help build and mentor the commercial legal team as it scales, and contribute across whatever the team needs

Assistant General Counsel, Commercial

• Own Baseten's legal and regulatory positioning under AI regulation — the EU AI Act, U.S. state AI laws, NIST AI RMF, and emerging frameworks
• Lead export and trade compliance, including BIS / EAR advanced-computing and semiconductor controls, end-use / end-user diligence, and sanctions screening as they apply to compute access and model distribution — owning the policy and screening framework that Commercial and Infra & Compute apply in their deals
• Build and run the privacy program: GDPR / CCPA compliance, the DPA and sub-processor framework, data-subject requests, cross-border transfer mechanics, and Baseten's posture as a processor
• Own the governance and controls layer for certifications — SOC 2, ISO/IEC 42001, HIPAA-eligible configurations — partnering with Security and Compliance on policy lifecycle, controls testing, evidence, and audit / regulator readiness
• Translate regulatory obligations into operational controls, documentation, and training that engineering, product, and GTM teams will actually adopt
• Serve as legal partner to the Security and GRC organizations on regulated-data handling, customer and auditor assurance, and risk-acceptance decisions
• Support Model Labs and partnership agreements on AI-law, privacy, export, and IP-provenance terms; support customer and Sales deals on the same as needed
• Advise the CLO and leadership on regulatory risk, monitor the evolving landscape, and recommend readiness plans for new or amended regimes
• May assist on M&A and other strategic or one-off transactions as needed

Assistant General Counsel – AI, Privacy & Governance

Full-stack Engineer

• Develop infrastructure and orchestration systems for deploying and managing large-scale distributed LLM inference
• Work across the stack, from customer-facing features to low-level infrastructure components
• Build platform capabilities related to routing, autoscaling, scheduling, observability, and runtime management
• Improve the reliability, scalability, and usability of our inference stack
• Collaborate closely with Model Performance engineers to make new inference optimizations broadly available to customers and easy to configure
• Help define best practices around testing, release automation, benchmarking, and operational excellence
• Debug complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads
• Make thoughtful engineering tradeoffs balancing performance, reliability, operational simplicity, and developer experience
• Own projects end-to-end: from architecture and implementation through deployment, monitoring, and iteration based on customer feedback

Software Engineer – BIS, Baseten Inference Stack

Network Engineer

• Own end-to-end network architecture for data center clusters.
• Define topology, redundancy, and performance characteristics.
• Select switches, optics, and cabling systems.
• Lead network bring-up, validation, and performance testing.
• Partner with hardware and platform teams on system-level performance.
• Define standards for deploying networks across sites.
• Mentor and support future team members.

Data Center Network Engineer

Recruitment

• Design and document recruiting processes. Build clear, consistent, scalable workflows across the full hiring lifecycle — from role kick-off to offer acceptance — and ensure they're adopted across the team.
• Build the recruiting data foundation. Define our core metrics (time-to-fill, offer acceptance rate, pipeline conversion, source effectiveness) and create dashboards that give recruiters, people leadership, and the business real-time visibility into hiring health.
• Drive interviewer and hiring manager enablement. Create training materials, calibration guides, and onboarding resources that raise the quality and consistency of our interview process across every function.
• Lead recruiting programs and initiatives. Own high-priority projects such as candidate experience improvements, referral program optimization, recruiting branding, and DEI initiatives end-to-end — from scoping to execution to measurement.
• Evaluate and implement new tools. Stay ahead of the recruiting technology landscape — from AI-powered sourcing tools to interview intelligence platforms — and bring a thoughtful POV on what Baseten should adopt and how.
• Partner cross-functionally. Collaborate with People, Finance, and BizTech to ensure recruiting data flows cleanly into downstream systems, headcount plans stay current, and compliance requirements are met.

Recruiting Operations Lead

• Own end-to-end executive searches. Lead VP- and C-suite hiring across Engineering, GTM, Finance, Product, and Operations — from intake and role scoping through offer close. You'll run 6–10 active searches at any given time with full accountability for outcomes.
• Partner directly with the CEO and executive team. Serve as the primary recruiting advisor for our most critical hires — shaping role definitions, structuring scorecards, advising on leveling, and driving alignment across decision-makers before a search ever goes live.
• Build and own executive talent pipelines. Proactively source, map, and cultivate relationships with senior leaders across AI infrastructure, cloud, and enterprise SaaS — before we have open roles, not after.
• Conduct high-signal executive assessments. Run structured screens that go deep on leadership behaviors, operating cadence, functional depth, and values alignment — and develop frameworks that help our teams evaluate consistently.
• Navigate complex, confidential searches. Handle sensitive situations — backfill searches, competing internal candidates, re-leveling — with discretion, sound judgment, and clear communication to stakeholders.
• Manage offer strategy and close. Lead the full compensation conversation for senior roles, partnering with People and Finance to build compelling packages and navigate complex negotiations with poise.
• Deliver market and talent intelligence. Provide the executive team with real-time insight on leadership talent availability, competitor moves, compensation benchmarks, and organizational trends that inform our hiring and people strategy.
• Build the executive recruiting function. Establish the processes, templates, tools, and norms that make Baseten's executive search practice repeatable and excellent — reducing reliance on retained search firms over time.

Executive Recruiter

DevOps Engineer

• Lead, grow, and develop team leads across the Cloud Platform and Site Reliability Engineering orgs, building a culture of ownership, technical excellence, and continuous improvement.
• Set the technical direction and roadmap for infrastructure, reliability, and platform engineering at the org level — balancing near-term operational needs with long-term strategic investments.
• Own the reliability posture of the platform end-to-end, establishing and enforcing org-wide standards for SLOs/SLIs, incident response, observability-as-code, runbooks, and post-incident reviews.
• Drive cross-functional collaboration with product, engineering, and customer-facing teams to ensure infrastructure capabilities and reliability investments align with product goals and enterprise customer requirements.
• Oversee incident management and escalation processes for high-severity production issues, ensuring clear communication, rapid resolution, and systemic follow-through.
• Translate recurring operational pain points and customer feedback into roadmap priorities, product improvements, and runbook enhancements across both teams.
• Ensure best practices for CI/CD, infrastructure-as-code, GitOps, Kubernetes, and cloud resource management are consistently adopted and maintained across the org.
• Partner with forward-deployed and customer success teams to support enterprise accounts with strict SLAs and complex infrastructure requirements.
• Navigate ambiguity and make sound architectural and organizational tradeoffs, avoiding unnecessary complexity while enabling your teams to move fast.
• Demonstrate accountability, pride of ownership, and high standards — and expect the same from your leads and their teams.

Senior Manager, Cloud Platform – Site Reliability

• Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s.
• Set clear performance expectations, hold a high bar, and create an environment where engineers do their best work.
• Foster a culture of ownership, accountability, and continuous improvement.
• Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions; translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them.
• Establish standards and best practices for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from specification through production.
• Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity.
• Partner with product and engineering teams to align infrastructure work with business priorities; represent your team's progress, capacity, and technical tradeoffs clearly to leadership.
• Serve as the escalation point for major incidents; drive resolution with urgency, ensure the team learns systematically, and stay connected to users so those learnings feed back into infrastructure improvements.

Engineering Manager, Cloud Platform

• Lead and grow a team of engineers, including hiring, mentorship, and career development.
• Own the Model Library product area end-to-end — from discovery and evaluation experiences to the APIs and tooling developers use to integrate models.
• Partner with product, ML, and cross-functional stakeholders to define scope, prioritize work, and communicate progress.
• Maintain a high technical bar through design doc reviews, code reviews, and hands-on architectural guidance.
• Drive product quality and reliability: define success metrics, establish feedback loops, and ensure a consistent, high-quality developer experience.
• Foster a culture of strong written communication, clear design thinking, and effective collaboration.

Engineering Manager, Model Library

• Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking.
• Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code.
• Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution.
• Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations.
• Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management.
• Define and instrument SLOs and SLIs across customer workloads and internal services.
• Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define.