--- title: 'Partner Enablement Lead at Baseten' canonical: 'https://feeny.ai/job/partner-enablement-lead-baseten-san-francisco-hnn1ex9bg330' type: 'job' last_seen: '2026-10-18' --- # Partner Enablement Lead at Baseten - **Company:** [Baseten](https://feeny.ai/companies/baseten) - **Location:** San Francisco, CA - **Compensation:** $200k–$250k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-15 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.ashbyhq.com/baseten/e3677df5-97b8-4a90-8ed8-135742c675f6 ## 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 Baseten has emerging co-sell relationships with multiple strategic marketplaces and clouds, including [OpenAI](https://www.baseten.co/talk-to-us/openai/?utm_source=google&utm_medium=paid_search&utm_campaign=acquisition_ICA-OpenAI-Partnership_2026-09-30&utm_term=baseten%20openai&utm_campaign=Search+-+Models&utm_source=adwords&utm_medium=ppc&utm_id=24316507588&hsa_acc=9990356727&hsa_cam=24316507588&hsa_grp=199416272086&hsa_ad=826599669780&hsa_src=g&hsa_tgt=kwd-2504168645905&hsa_kw=baseten%20openai&hsa_mt=e&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=24316507588&gbraid=0AAAAAqCKh1tZ-ESp-CbtgHnyoj6pkRZGL&gclid=CjwKCAjw56zWBhB0EiwAdPOQOTzW3Bhx_UxkJI6XA8gB1rqClDpNVWFQtTzWlO0RBCV5Xx_yB54yDxoCcd4QAvD_BwE), NVIDIA and other Hyperscalers, Model Labs, and Data Platforms. The task at hand is to enable and activate partner sellers and to ensure that our internal field teams are well-supported to work successful with partner teams. As Baseten’s Partner Enablement Lead, you'll turn each partnership into a repeatable field motion. You'll work out why a partner account executive should care about Baseten, which of their customers are a fit, and what joint execution looks like. Then you'll co-build what it takes for sellers on both sides to run that play: the value proposition, the account mapping, the talk tracks, the training, and the relationships with partner field leaders. As always, the work starts with earning partner attention. This is a strategic, hands-on role for an ecosystem GTM operator who peaks in enablement. Your work will include deep cross-functional collaboration, instructional design, content development, and training delivery. You won't own partner-sourced pipeline directly, but you will make those who do much more effective. Our partnerships span Hyperscalers, Model Labs, Semiconductors, Consulting and Systems Integrators, and Data Platforms. While much of what partner enablement looks will be in your hands to define, it will include getting in front of field sellers, developing co-sell opportunities, and driving adoption of marketplace incentives for customers to buy Baseten against the commitments they already have. You'll report to the Head of GTM Enablement & Productivity and work closely with our Partnerships, Sales, FDE, Marketing, and RevOps teams. ## WHAT YOU'LL DO Design the joint go-to-market motion with strategic partners - Build a working picture of each partner's field: seller roles, how they're paid and measured, what makes them bring in a third party, and what gets in the way. - Define joint value propositions, customer triggers, and target segments in partnership with our alliance leads and sales & revops leadership. - Turn those into co-sell plays with clear entry points, owners, and next steps for both sides. - Run account mapping with partner teams so the plays land on specific accounts, not just slides. Activate partner field teams - Activate partner sellers and their managers to be aware of Baseten, confident in when to pull us in, and motivated to do so. - Build relationships with partner field leaders, partner development managers, and ISV teams so enablement reaches the sellers who matter. - Plan and run activations by region and segment: field briefings, account planning sessions, joint office hours, and events alongside our partnerships team. - Teach both sides how marketplace and co-sell mechanics work, so those programs make deals simpler and faster to execute. Enable Baseten's own sellers on partner motions - Make sure our AEs, SAs, and FDEs know how to work a partner-sourced or co-sell deal: how to engage the partner rep, how attribution and credit work, and which plays to run. - Build or collate the playbooks, demos, and certifications our team needs, and keep them current as each partnership changes. - Bring partner content into our onboarding and GTM Academy so new hires learn the partner motion from day one. Measure and evolve programs - Define how we measure activation: trained and engaged partner sellers, joint account plans, co-sell opportunities registered, and partner-influenced pipeline. - Work with RevOps on the operational side of partner programs, including deal registration, marketplace private offers, and POC and MDF requests. - Report monthly to GTM leadership on what's working, what isn't, and advise on where to invest next. ## WHAT WE'RE LOOKING FOR - 5+ years in partner or alliance GTM, partner enablement, or field GTM at a cloud, data, AI, or infrastructure company. - Hands-on experience activating co-sell with at least one hyperscaler or major platform partner (Microsoft, AWS, Google Cloud, NVIDIA, or similar). - You think in pipeline and seller behavior as well as in curriculum. You can explain a joint motion end to end, from partner incentives to the first customer meeting. - Enough technical depth to be credible with SAs and engineers on both sides. You don't need to be an ML engineer, but you should be comfortable learning inference, model serving, and GPU and token economics quickly. - You want to build: the play, the deck, the training, the measurement plan. You don't stop at the framework. - Comfortable working across teams you don't control, inside Baseten and inside partner organizations much larger than ours. Strong candidates may come from a mix of backgrounds such as: - Cloud alliances or partner GTM at a data or infrastructure ISV that co-sells with the hyperscalers. - ISV, partner development, or marketplace roles inside a hyperscaler or NVIDIA. - Partner enablement leadership at a technical company, with a track record tied to pipeline rather than training volume. - A partner-facing SA or SE who moved into enablement or GTM strategy. ## NICE TO HAVE - Experience with Microsoft co-sell programs, Azure Marketplace, or NVIDIA's partner and ISV programs. - Experience at an AI infrastructure, model provider, or developer platform company. - Built a partner function or partner enablement program from scratch at a growth-stage company. ## 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 - [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 - [Marketing Recruiter](https://feeny.ai/job/marketing-recruiter-baseten-new-york-12dbt8dhg270) — New York, NY