Jobs in United States

Product Support in United States

4,164 active opportunities · Updated October 2026

Explore current product support jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

DC
📍 New York, New York, United States· Full-time
✓ High-confidence listing

From $131K/yr

Quick readStrong listing-quality and freshness signals

Role Overview You’re a seasoned Site Reliability Engineer who loves owning complex infrastructure, making things run faster, safer, and with less manual effort. In this Staff‑level role, you’ll design and operate VMware‑based private cloud platforms that power mission‑critical SaaS products used by customers around the world. You’ll work across Linux, Windows Server, networking, storage, and automation frameworks to increase reliability, reduce toil, and modernize a global datacenter environment. You’ll have the scope to set technical direction, build automation at scale, and mentor engineers while staying hands‑on with VMware vSphere, F5/AVI load balancers, and hybrid Active Directory. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture, deployment, and ongoing optimization of VMware vSphere–based private cloud infrastructure across multiple global datacenters. Design and build automation using PowerShell/PowerCLI, Ansible, Python, and CI/CD tools to streamline provisioning, configuration, and compliance. Administer, harden, and troubleshoot Linux (RHEL/CentOS/Ubuntu) and Windows Server environments that host enterprise and SaaS workloads. Integrate and manage Active Directory for authentication, access control, and service accounts across hybrid on‑prem and cloud environments. Partner with network and security teams to manage firewalls, VPNs, storage, and load balancers (F5 BIG‑IP, AVI/NSX Advanced Load Balancer) for highly available services. Document architectures and runbooks, participate in on‑call and change management, and mentor engineers while influencing long‑term reliability and automation strategy. These are the essentials you’ll need to get an interview 10+ years of experience in systems or infrastructure engineering, including operating large‑scale enterprise or SaaS datacenter environments. Deep hands‑on expertise with VMware vSphere (ESXi, vCenter, DRS, HA, vMotion, distributed switches) in production

PythonAWSAzureCI/CD
T
📍 Austin, Texas, United States· Full-time
✓ High-confidence listing

$100K – $500K/yr

Quick readStrong listing-quality and freshness signals

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a highly skilled and experienced Engineer to lead post-silicon power characterization and correlation activities for cutting-edge semiconductor products. In this role, you will be responsible for developing and executing detailed power measurement strategies on silicon, correlating results with pre-silicon models, and driving improvements across power architecture, design, and modeling methodologies. You will serve as a key technical leader, interfacing across design, architecture, validation, and systems teams to ensure silicon meets power and performance specifications under all operating conditions. This role is hybrid, based out of Toronto, ON or Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who you are A Principal-level engineer with 8+ years in silicon power analysis and characterization, and a Master’s or PhD in EE, CE, or related field. Deep understanding of digital and mixed-signal power domains, including DVFS, leakage vs. dynamic power, and power gating. Highly proficient in lab-based power measurement using oscilloscopes, current probes, power analyzers, and SMUs, plus Python/Perl/MATLAB

PythonAWSGitAI
C-
📍 New York, New York, United States· Full-time
✓ High-confidence listing

$150K – $180K/yr

Quick readStrong listing-quality and freshness signals

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. CLEAR is looking for a modern, highly strategic communications leader to drive earned media and bring our biggest partnerships, products, and company moments to market. You’ll build a proactive communications engine across CLEAR1, CLEAR+, and other key initiatives, developing the strategy while rolling up your sleeves to write, pitch, launch, and execute the work. What you'll do: Own communications approach and execution for major CLEAR announcements, partnerships and launches across CLEAR1, CLEAR+, and other priority areas of the business Build and maintain strong relationships with national, business, technology, travel and trade media, as well as new media types, proactively developing stories and opportunities that drive awareness, consideration and understanding of CLEAR Turn business priorities into compelling narratives and integrated communications plans, identifying how earned media, executive visibility, partners, owned channels and other communications levers can work together to maximize impact Lead announcements from idea through execution, developing messaging, writing press materials, pitching media, preparing spokespeople, coordinating internal and external stakeholders and ensuring flawless launch execution Build the processes, rhythms and tools that make CLEAR’s communications function increasingly proactive and scalable, creating visibility into upcoming moments and identifying opportunities to tell a bigger, more connected CLEAR story How you'll measure success: Quality, relevance and reach of earned me

GitRestAIExcel
C-
📍 New York, New York, United States· Full-time
✓ High-confidence listing

$250K – $325K/yr

Quick readStrong listing-quality and freshness signals

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. The VP, Performance Marketing will build and scale CLEAR’s customer acquisition and retention strategy for our business, owning performance across paid media, search and emerging discovery, web, CRM and lifecycle, and strategic partnerships. As AI reshapes how travelers discover, evaluate, and purchase products, you’ll define the next generation of CLEAR’s performance marketing playbook – reaching travelers long before they arrive at the airport and turning them into long-term Members. What you'll do: Own CLEAR’s performance marketing strategy and investment portfolio across paid media, search, web, CRM and lifecycle, and emerging channels – allocating resources based on incrementality, customer economics, and measurable business impact. Build the next generation of traveler discovery for CLEAR across traditional search, AI assistants, communities, travel media, and emerging platforms; establish how we measure and grow CLEAR’s visibility, consideration, and recommendation as consumer behavior evolves. Own the Member lifecycle from acquisition through renewal and winback, building personalized journeys, offers, and experiences that increase engagement, retention, and adoption of CLEAR’s growing portfolio of travel products and services. Grow CLEAR’s strategic travel partnerships, including credit card, airline, and travel partners, while developing new acquisition opportunities across travel media networks and other first-party ecosystems that reach consumers throughout their journey. Build a rigorous performance and experimentati

SQLGitRestAI
B
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -80.4%
Quick readStrong listing-quality and freshness signals

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 This role owns Baseten's relationships and market intelligence across hyperscalers and strategic neoclouds, including NVIDIA cloud partners. This is a technical and commercial role in equal measure: you'll evaluate capacity from the GPU to the data center, negotiate cost and terms with suppliers, and stay close enough to the market to develop and defend a real point of view on where it's heading. Given current market conditions, Baseten needs a much stronger pulse on this part of the market so we can track pricing, stay close to the right relationships, and move fast the moment more capacity is needed. This is a senior, experienced hire who will also help pair with and develop 1-2 junior to mid-level teammates covering the same space. WHAT YOU'LL DO Build and maintain deep relationships across hyperscalers and strategic neoclouds (including NVIDIA cloud partners), working each organization from top to bottom rather than a single point of contact Maintain a consistent, "top of mind" presence with key accounts so Baseten is positioned to move quickly when capacity needs arise Evaluate capacity from the GPU to the data center — hardware generation, rack and node configuration, interconnect, power density, and cooling — so you know what a configuration will actually deliver, not just what the spec sheet claims Live in compute pricing daily: track rates by GPU generation, region, and contract term to keep Baseten inf

Machine LearningAIGoHR
B
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -80.4%
Quick readStrong listing-quality and freshness signals

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 As a Global Capacity Manager focused on TPUs at Baseten, you will lead the "engine room" for our non-NVIDIA accelerator fleet, architecting, securing, and optimizing the Google Cloud TPU (and broader emerging accelerator) capacity that powers our customers' AI workloads. You'll own the end-to-end journey of capacity management for this fleet, from securing large-scale TPU pod allocations to building the automation that ensures reliable uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering, with a specific focus on the TPU ecosystem. You will act as the fleet orchestrator for Google's TPU architecture, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics as we diversify beyond NVIDIA. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the latest generation of TPU hardware, like Google's Trillium (v6e) architecture, and partnering closely with the Model Performance (MP) team to ensure workloads are tuned for TPU-specific execution. EXAMPLE INITIATIVES The TPU Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's TPU clusters, including pod slicing and topology planning Global Workload Orchestration: Bui

PythonAWSAzureGCP
B
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -80.4%
Quick readStrong listing-quality and freshness signals

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 As a member of the Capacity Strategy & Operations team, you will sit at the intersection of supply intelligence, demand forecasting, and cross-functional execution, turning a complex, fast-moving hardware market into a predictable, reliable foundation for our customers and internal engineering teams. This is not a purely analytical role. You will own the end-to-end capacity planning process: from translating customer commitments and growth forecasts into concrete supply requirements, to coordinating fulfillment across vendors, finance, and the infrastructure team, to building the systems that make all of this repeatable and scalable. When supply is constrained and tradeoffs are unavoidable, you are the person in the room who can model the options, make a clear recommendation, and drive alignment fast. You are a strong fit if you have operated at the intersection of strategy and execution before — someone who is equally comfortable building a capacity model in a spreadsheet and running a cross-functional war room when a customer deployment is at risk. EXAMPLE INITIATIVES Demand-Supply Alignment Framework: Build and own the process that translates customer pipeline, signed commitments, and growth projections into a forward-looking GPU demand signal — so the team is never caught flat-footed when a customer scales faster than expected. Constrained Allocation Playbook: Define the decision framework for how Basete

Machine LearningAIGoExcel
B
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -80.4%
Quick readStrong listing-quality and freshness signals

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 We’re looking for a high-performing strategic finance professional to join our growing GTM Finance team. Our business grows with our customers' usage, which makes the finance function highly strategic at Baseten: growth, pricing, margin, and capacity decisions are business model decisions. You'll sit at the center of them, partnering directly with GTM leadership and reporting into a finance team with a seat at the table for the calls that shape the company's trajectory. This role is ideal for someone with 3 to 7 years of experience across strategic finance, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience at a usage-based software company is a plus. RESPONSIBILITIES Own financial planning, forecasting, and budgeting processes for the GTM org Build and maintain financial models across revenue, S&M spend, headcount, and strategic bets Analyze the metrics that define a usage-based business – ARR, gross margin, consumption trends, retention, and GTM efficiency Partner with GTM leaders to set targets, evaluate growth initiatives, shape pricing, and design sales compensation Help prepare board materials, investor updates, and fundraising analyses Improve financial reporting, dashboards, and operational rigor so our infrastructure scales as fast as our revenue Work cross-functionally to turn ambiguous business questions int

SQLRestMachine LearningAI
B
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -80.4%
Quick readStrong listing-quality and freshness signals

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 As a Global Capacity Lead at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture. EXAMPLE INITIATIVES The B200 Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's first Blackwell GPU clusters. Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems to move customer workloads seamlessly across regions to optimize cost and latency. Precision GPU Triage: Developing automated Go-based operators to identify, cordon, and repair unhealthy H100 nodes in under an hour. The Supply Chain of Intelligence: Partnering with lead

PythonAWSAzureGCP
B
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -80.4%
Quick readStrong listing-quality and freshness signals

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 We're looking for a hands-on Operations Manager to own the operational and analytical supply side of our GPU fleet. Key focus areas: GPU fleet lifecycle, health, observability, utilization monitoring, and remediation across our neocloud and bare metal environments. We contract for a fixed amount of compute capacity. GPUs drift from healthy to unhealthy over time, and this role minimizes that downtime to keep the maximum number of GPUs healthy at any given moment. This is an operator role, not people management. You'll drive execution through clear processes, metrics, reporting, vendor coordination, and cross-functional alignment.. RESPONSIBILITIES Core Responsibilities: Drive suppliers to keep the maximum amount of the GPU fleet online and healthy. Maintain a live reconciliation of contracted vs. provisioned vs. healthy vs. utilized capacity, broken out by supplier and by cluster maximizing the number of healthy GPUs. Supplier-attributed fleet health accountability: own replacement SLAs, mean time to repair (MTTR), and RMA cycle times for every in-scope supplier. SLA monitoring, credit claims, and remedy enforcement: track SLA performance against contract terms, file and pursue credit claims, and drive remediation plans when suppliers fall short. Drive internal communications where suppliers need to perform maintenance to ensure all Baseten stakeholders are aware of activities that impact availability. Scope and

Machine LearningAIGoFinance
B
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -80.4%
Quick readStrong listing-quality and freshness signals

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 We're looking for a Delivery Director, Capacity programs for our on-premises data center builds and neo cloud (GPU cloud) delivery programs. This is a high-visibility, execution-critical role sitting at the intersection of infrastructure engineering, capacity planning, vendor/partner management, and customer delivery. You will own the end-to-end delivery lifecycle for large-scale compute infrastructure — from initial site/capacity commitments through power, networking, and hardware bring-up, to production-ready GPU/compute capacity landing in the hands of internal teams or customers. You'll be the person who turns ambitious infrastructure roadmaps into predictable, on-time, delivery. RESPONSIBILITIES Own delivery of on-prem infrastructure builds — colocation expansions, power/cooling readiness, rack-and-stack, network fabric bring-up, and hardware acceptance testing — coordinating across colo providers and partners, network engineering, hardware ops, and vendor teams. Drive neo cloud delivery programs — manage capacity delivery from GPU cloud and neo cloud partners (e.g., colocation/bare-metal/GPU cloud providers), including contract milestones, capacity ramps, SLAs, and go-live readiness. Build and maintain master delivery schedules across concurrent, multi-site, multi-vendor programs, integrating power/shell timelines, hardware lead times, logistics, and software/platform readiness into a single critical path.

ReactMachine LearningAIGo
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📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -100%

From $95.2K/yr

Quick readStrong listing-quality and freshness signals

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, we’re looking for a Talent Brand Manager to shape how current and prospective team members understand what it means to work here. You’ll bring GitLab’s employer value proposition to life through storytelling, recruitment marketing, candidate education, and experiences that connect our external reputation to our internal culture. You’ll partner across GitLab to turn talent brand strategy into campaigns and content throughout the candidate journey. This role is a strong fit for a brand, recruitment marketing, employer brand, or content professional who can move between strategy and execution. You

GitRestAIRust
G
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -100%

From $115.2K/yr

Quick readStrong listing-quality and freshness signals

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Talent Brand Manager, you'll shape how current and prospective team members understand what it means to work at GitLab. You'll bring our employer value proposition to life through talent brand strategy, recruitment marketing, and integrated campaigns across the candidate journey. You'll combine editorial judgment, performance data, cross-functional influence, and artificial intelligence tools to create clear, inclusive, and authentic candidate experiences. What You’ll Do Lead GitLab's talent brand strategy, translating our employer value proposition and company direction into clea

GitRestAIRust
G
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -100%

From $152.8K/yr

Quick readStrong listing-quality and freshness signals

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Engineering Manager for the Agent Execution group , you'll lead more than 10 engineers who build foundations for AI agents to run safely and effectively across GitLab. You'll give the group clarity, remove obstacles, and help teams move quickly while protecting what matters. You'll contribute to design reviews on sandboxing and agent observability, work alongside staff engineers, and use modern AI coding tools and agent harnesses in your work. What you’ll do Lead the Agent Tools, Agent Observability, and Runner Execution teams across frontend, backend, and AI engineering, with each team anchored by a s

TypeScriptPythonGitRest
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📍 San Francisco, California, United States· Full-time· Remote
✓ Quality checkedCompany trend -80.4%

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 to ship AI products. THE ROLE The Model Performance organization at Baseten is looking to hire our first Technical Program Manager. This is a zero-to-one role in a team that is responsible for building the core algorithms and methods that power Baseten’s high performance inference stack. You won't inherit an existing program framework, you'll build one from the ground up: the planning structure, execution processes, metrics and the cross-functional alignment that a fast-growing organization needs. Your contributions will directly impact how fast our performance R&D gets productized. If you can drive turning a set of ambitious but loosely defined initiatives into a predictable, well-governed program, this role is for you. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Model Performance team: How to build a day-0 API for Kimi K3 How we built the new fastest API for GLM-5.2 Inference engineering for DeepSeek V4 Pro 0813 RESPONSIBILITIES Own execution across Model Performance's active project portfolio, freeing the team's technical leads to focus on technical direction rather than tracking. Design and stand up the planning structures, operating cadences, and status reporting mechanisms that best fits the team’s DNA. Coordinate model release and optimization programs end to end, including day-zero launches, sequencing the work across performance engineering, infra, and release stakeholders. Drive cross-team al

Machine LearningAIGoExcel
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