--- title: 'Senior People Business Partner at Baseten' canonical: 'https://feeny.ai/job/senior-people-business-partner-baseten-san-francisco-6z3cbgtq6jk0' type: 'job' last_seen: '2026-10-18' --- # Senior People Business Partner at Baseten - **Company:** [Baseten](https://feeny.ai/companies/baseten) - **Location:** San Francisco, CA - **Compensation:** $180k–$230k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-17 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.ashbyhq.com/baseten/ddbd38d0-1914-4bac-9381-75a72f5023ca ## Job description ## 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](https://www.baseten.co/blog/announcing-our-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 We’re hiring a People Business Partner to support our team during a critical phase of growth. This is a highly strategic, high-impact role for someone who has partnered closely with leadership teams and helped organizations scale with intention. You will be deeply embedded with managers, bringing clarity and rigor to how teams are structured, how leaders operate, and how talent is developed across the organization. You’ll help shape team effectiveness, identify critical talent gaps, drive talent and performance strategies that enable high-performing teams, and build the people practices and change management approaches that allow us to scale with both speed and discipline. This role requires strong business judgment and the ability to operate with deep context. You’ll partner closely with leaders to navigate complex organizational decisions, anticipate challenges before they surface, and bring a clear point of view on what great looks like at every level of the organization. ## RESPONSIBILITIES Strategic partnership to leadership - Serve as the trusted people partner to leadership, maintaining deep business context and translating it into people priorities by proactively surfacing systemic issues, risks, and opportunities before they become urgent. - Bring data-driven insights to advise management on org design, succession planning, performance, retention, and engagement. - Build management capacity across the org, equipping leaders with the skills and frameworks to hire well, set clear expectations, give direct feedback, and develop their teams. - Partner with leadership, Talent, and Finance on headcount planning and tracking. Support annual planning and ongoing adjustments to hiring plans as business priorities and team needs evolve. - Support change management efforts across teams, ensuring leaders and cross functional teams can successfully navigate growth, evolving strategy and changing org structure. Performance and talent management - Drive a high-performance culture, supporting clear expectation setting, rapid ramping, ongoing accountability, regular performance reviews, and rigorous performance management. - Navigate high-stakes people matters (investigations, performance exits, organizational change), balancing compliance and risk management with compassion and a human approach. - Advise on role architecture, career pathing, and promotion readiness within the org, proactively identifying top talent and flight risks to inform retention and development strategies. - Collaborate with Compensation on salary benchmarking, equity strategy, and offer approvals to keep hiring competitive and internally equitable. - Partner closely with People Operations on employee lifecycle execution. Develop best practices and strong documentation practices for role changes, promotions, leaves, and terminations. - Collaborate with Workplace Experience to ensure teams have what they need across our offices, from team onsites and offsites to day-to-day environment asks. ## REQUIREMENTS - 6+ years of progressive People Business partner experience, partnering with all levels of management, from VP+ leaders to frontline and first-time managers, across a range of functions. - Experience supporting 400+ employee organizations through rapid growth, with deep expertise in org design, performance management, talent strategy, and leadership development. - Strong business acumen, with the ability to understand priorities and trade-offs and quickly build credibility and deep context with the functions you support. - Proven ability to navigate complex, high-stakes people decisions with speed and sound judgment, grounded in risk awareness. - Highly analytical and first-principles thinker who uses data to diagnose root causes and builds simple, scalable processes over heavyweight systems. - Thrives in high-growth environments defined by ownership, pace, and ambiguity. High-ownership mindset with a bias toward execution and building repeatable systems. - Extremely clear written and verbal communication skills, balancing nuance with directness to build trust and align stakeholders. - Able to work in-person 3+ days per week in San Francisco. ## 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). ## About Baseten ## Company Overview - **One-liner**: Baseten is an AI infrastructure platform that provides high-performance inference infrastructure for deploying, optimizing, and managing AI models in production. - **Entity Type**: Private (Series F) - **Headquarters**: San Francisco, California, United States - **Founded**: 2019 - **Founders**: Tuhin Srivastava (CEO), Amir Haghighat (CTO), Phil Howes (Co-Founder & Chief Scientist) ## Core Business - **Primary industry/industries**: AI Infrastructure / Cloud Computing / MLOps - **Target customers**: B2B, targeting AI-native companies, enterprises, and developers building and deploying large-scale AI applications. Notable customers include Abridge, Cursor, Lovable, Notion, and OpenEvidence. - **Mission or purpose statement**: Provide the tooling, expertise, and hardware needed for teams to bring performant AI products to market as quickly and reliably as possible. The company's core belief is that "inference is everything" and that the future of AI will consist of millions of specialized models embedded into every product and workflow. ## Products & Services - **Baseten Cloud**: A fully-managed, global deployment platform for AI models. Provides out-of-the-box performance optimizations, 99.99% uptime, and massive horizontal scale. Supports single-tenant and self-hosted (hybrid) deployments. - **Baseten Inference Stack**: The proprietary, underlying technology that powers the platform. Includes custom model runtimes (LLMs, embeddings, voice AI, image generation), advanced caching, custom kernels, and cutting-edge performance research. Claims 2x higher throughput and 10% lower latency for embeddings (BEI). - **Baseten Chains**: Enables granular hardware and autoscaling for compound AI systems, reportedly powering 6x better GPU usage and cutting latency in half. - **Frontier Gateway (Pre-optimized Model APIs)**: Allows users to instantly test and deploy pre-optimized versions of the latest open-source, custom, and fine-tuned models (e.g., Qwen, DeepSeek, GLM, gpt-oss). - **Forward Deployed Engineering (FDE)**: A service offering where Baseten engineers work side-by-side with key customers to build, optimize, and scale their models from prototype to production. - **Training on Baseten**: Allows users to train models and deploy them in one click on the inference-optimized infrastructure. - **Monetization API**: An inference API that allows model developers to monetize their models. ## Market Standing - **Valuation/Market Cap**: Not privately disclosed, but the company has raised a total of **$585M** in funding. - **Key Metric**: Annual revenue of **$7.0M** (as per LinkedIn). Total funding of **$585M**. - **Notable Investors/Partners**: IVP, Spark Capital, Bond, CapitalG, South Park Commons, Greylock. - **Growth Signals**: - Announced a **Series F** funding round (details not fully public in search results). - **Massive headcount growth**: 224.4% year-over-year, now employing 201 people. - **LinkedIn follower growth**: 199.9% year-over-year. - **Active job postings**: 112 open roles. - Acquired the company **Parsed**. - Backed by high-profile institutional investors including CapitalG (Alphabet's growth fund) and IVP. ## Competitive Advantages - **High-Performance Inference Stack**: A proprietary, deeply optimized stack focusing on ultra-low latency and high throughput for the most demanding Gen AI workloads (voice AI, real-time streaming, complex compound AI systems). - **Customer Obsession & Forward Deployed Engineering**: A hands-on, consulting-style approach with their FDE team, which builds deep, sticky relationships with high-value customers like Abridge and Notion. - **Global & Hybrid Cloud Flexibility**: Offers both fully-managed cloud and self-hosted deployments within customer VPCs, providing scalability and security for enterprises with strict data governance requirements. - **Founding Team's Deep Technical Credibility**: Built by former researchers and engineers who experienced the "deployment hell" of AI systems firsthand, giving them deep empathy and expertise in the problem they are solving. ## Strategic Focus - **Dominating the "Inference-as-a-Service" Market**: The company's core thesis is that inference will become the largest market ever created, and they are building the infrastructure to power it. - **Scaling for High-Volume, Mission-Critical Workloads**: Focus on reliability, performance, and cost-efficiency for customers who cannot afford downtime or latency (e.g., AI phone calls, real-time translation). - **Deepening the Technical Stack**: Continuously investing in performance research (custom kernels, new decoding techniques) and expanding capabilities into new areas like voice AI and audio streaming. - **Aggressive Hiring**: With 112 open positions and massive YoY growth, scaling the engineering, sales, and operations teams is a clear priority. ## Why Work Here - **Hard Technical Problems**: Engineers work on the most challenging problems in modern infrastructure—model serving, low-level GPU optimization, networking, distributed systems, and observability. This is a high-agency, high-impact engineering environment. - **High Growth Trajectory**: The company is experiencing explosive growth (224% headcount increase, active hiring). This offers significant career acceleration and ownership opportunities. - **Strong Engineering Culture**: Founded by engineers, for engineers. The culture emphasizes "first-principles thinking across the entire stack" and a "customer-obsessed" mindset. The employer rating on compensation, culture, and work-life balance is rated highly (5.0). - **Top-Tier Team & Investors**: The team has strong talent density with hires from Meta, Stripe, Google, NVIDIA, and Databricks. Being backed by top-tier VCs provides stability and a clear long-term vision. - **Hybrid/In-Office**: Based in San Francisco with a strong in-person or hybrid culture common for fast-moving infrastructure startups. ## Sources 1. [Company Website](https://www.baseten.co/) 2. [Careers Page](https://www.baseten.co/resources/careers/) 3. [About Us (Team)](https://www.baseten.co/about-us/) 4. [LinkedIn Company Profile](https://www.linkedin.com/company/baseten) 5. [Ashby Careers Portal](https://jobs.ashbyhq.com/baseten) ## Other roles at Baseten - [Product Marketing Manager, Partnerships](https://feeny.ai/job/product-marketing-manager-partnerships-baseten-san-francisco-nq8djv2cchyf) — San Francisco, CA - [Partner Enablement Lead](https://feeny.ai/job/partner-enablement-lead-baseten-san-francisco-hnn1ex9bg330) — San Francisco, CA - [Engineering Manager Runtime - Storage](https://feeny.ai/job/engineering-manager-runtime-storage-baseten-san-francisco-tj58p3wmtdwz) — San Francisco, CA - [Sales Manager - Enterprise (New York)](https://feeny.ai/job/sales-manager-enterprise-new-york-baseten-new-york-5tyvjykwwgvp) — New York, NY - [GRC Manager](https://feeny.ai/job/grc-manager-baseten-san-francisco-h4rsmvjx5r79) — San Francisco, CA - [Post-Training Applied Researcher](https://feeny.ai/job/post-training-applied-researcher-baseten-san-francisco-rkqr55d1q922) — San Francisco, CA - [Engineering Manager - Inference Performance](https://feeny.ai/job/engineering-manager-inference-performance-baseten-san-francisco-g288gz5d5c72) — San Francisco, CA - [Solutions Architect, EMEA](https://feeny.ai/job/solutions-architect-emea-baseten-remote-7wm26ab3zv3k) - [Software Engineer - Inference Platform](https://feeny.ai/job/software-engineer-inference-platform-baseten-san-francisco-c8ft1e43rhsm) — San Francisco, CA - [Software Engineer - Inference Performance](https://feeny.ai/job/software-engineer-inference-performance-baseten-san-francisco-z5nwnfabvs6n) — San Francisco, CA