Staff Technical Program Manager, Infrastructure FinOps

Zigsaw

Staff Technical Program Manager overseeing infrastructure governance and financial models at Pinterest. Collaborating with Product and Engineering to execute multi-quarter programs with measurable outcomes.

Posted 4/22/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $145,747 - $300,067 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Partner with Product and Engineering to translate infrastructure strategy into executable multi-quarter programs, with clear scope, sequencing, dependencies, governance forums, and measurable outcomes across the Infra Governance portfolio.
Lead capacity planning as a core operating motion: connect product demand, infrastructure supply, growth assumptions, and technical constraints into a durable planning cadence that enables earlier, better investment decisions.
Own budgeting, forecasting, and variance analysis for infrastructure governance programs, building clear visibility into where investment is going today, where it is expected to go next, and what is driving movement versus plan.
Develop financial models, cost models, and scenario-planning frameworks that translate technical choices into business impact and support explicit trade-off discussions across capacity, cost, reliability, performance, and speed.
Build an investment transparency matrix for infrastructure and AI spend, including ownership, allocation, utilization, forecast, actuals, and decision points, so leadership can quickly understand where resources are being consumed and where intervention is needed.
Establish governance for AI token utilization and allocation, including forecasting demand, tracking usage, improving transparency, and helping teams understand the financial implications of model and token consumption choices.
Operationalize durable mechanisms for budgeting reviews, forecast updates, variance investigations, anomaly management, and optimization follow-through in partnership with Product, Engineering, Finance, Security, and Data.
Lead trade-off discussions that improve decision quality: synthesize technical inputs, business priorities, and financial signals into clear options, recommendations, and escalation-ready decisions.
Build the governance layer for execution: run portfolio reviews, dependency management, roadmap health reviews, planning checkpoints, and executive updates that keep large cross-functional programs aligned and on track.
Identify high-leverage opportunities to automate operational toil, especially in recurring workflows like status synthesis, planning reviews, dependency tracking, intake triage, forecast reconciliation, and action/decision capture.
Build AI-assisted frameworks, lightweight models, and workflow automations that improve decision-making, including dashboards, scenario tools, cost-model templates, token-usage views, and planning helpers that increase signal while reducing manual overhead.
Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.

Requirements

What you’ll need

8+ years of Technical leadership experience owning large, ambiguous, cross-functional programs with senior stakeholder visibility and durable business impact.
Strong experience in infrastructure, platform, cloud economics, or adjacent environments where capacity, cost, performance be managed together.
Proven ability to translate strategy into executable programs: turning broad technical goals into roadmaps, governance mechanisms, planning cadences, and measurable outcomes.
Demonstrated strength in capacity planning, budgeting, forecasting, variation planning in environments with meaningful scale and complexity.
Strong financial modeling and cost modeling skills: able to build simple, credible models, pressure-test assumptions, and use data to guide prioritization and trade-off discussions.
Experience building transparency mechanisms for investment and utilization, including understanding where infrastructure or AI spend is going, where it is expected to go, and how ownership and allocation should work.
Strong technical breadth and judgment: able to partner effectively with engineering teams, drive clarity around requirements, and facilitate technical trade-offs without relying on coding depth; this is directly aligned to the technical breadth and judgment expectations in the interview guidance.
Excellent cross-functional collaboration and executive communication: able to align teams with conflicting priorities, communicate clearly upward, and influence without direct authority; this is directly aligned to the XFN collaboration and communication expectations in the interview loop.
Experience building durable mechanisms rather than just managing tasks: governance processes, planning systems, dashboards, review cadences, and decision frameworks that scale across teams.
Workflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate)
Safety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Zigsaw Website LinkedIn All Job Openings 11 - 50 employees Founded 2016 Making Job-search and talent discovery simpler, faster and effective for Job-seekers. Staff Technical Program Manager, Infrastructure FinOps 🔥 21 minutes ago 🏢🏡 San Francisco – Hybrid 💵 $145.7k - $300.1k / year ⏰ Full Time 🔴 Lead 🔧 Technical Program Manager Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Partner with Product and Engineering to translate infrastructure strategy into executable multi-quarter programs, with clear scope, sequencing, dependencies, governance forums, and measurable outcomes across the Infra Governance portfolio.
Lead capacity planning as a core operating motion: connect product demand, infrastructure supply, growth assumptions, and technical constraints into a durable planning cadence that enables earlier, better investment decisions.
Own budgeting, forecasting, and variance analysis for infrastructure governance programs, building clear visibility into where investment is going today, where it is expected to go next, and what is driving movement versus plan.
Develop financial models, cost models, and scenario-planning frameworks that translate technical choices into business impact and support explicit trade-off discussions across capacity, cost, reliability, performance, and speed.
Build an investment transparency matrix for infrastructure and AI spend, including ownership, allocation, utilization, forecast, actuals, and decision points, so leadership can quickly understand where resources are being consumed and where intervention is needed.
Establish governance for AI token utilization and allocation, including forecasting demand, tracking usage, improving transparency, and helping teams understand the financial implications of model and token consumption choices.
Operationalize durable mechanisms for budgeting reviews, forecast updates, variance investigations, anomaly management, and optimization follow-through in partnership with Product, Engineering, Finance, Security, and Data.
Lead trade-off discussions that improve decision quality: synthesize technical inputs, business priorities, and financial signals into clear options, recommendations, and escalation-ready decisions.
Build the governance layer for execution: run portfolio reviews, dependency management, roadmap health reviews, planning checkpoints, and executive updates that keep large cross-functional programs aligned and on track.
Identify high-leverage opportunities to automate operational toil, especially in recurring workflows like status synthesis, planning reviews, dependency tracking, intake triage, forecast reconciliation, and action/decision capture.
Build AI-assisted frameworks, lightweight models, and workflow automations that improve decision-making, including dashboards, scenario tools, cost-model templates, token-usage views, and planning helpers that increase signal while reducing manual overhead.
Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption. 🎯 Requirements
8+ years of Technical leadership experience owning large, ambiguous, cross-functional programs with senior stakeholder visibility and durable business impact.
Strong experience in infrastructure, platform, cloud economics, or adjacent environments where capacity, cost, performance be managed together.
Proven ability to translate strategy into executable programs: turning broad technical goals into roadmaps, governance mechanisms, planning cadences, and measurable outcomes.
Demonstrated strength in capacity planning, budgeting, forecasting, variation planning in environments with meaningful scale and complexity.
Strong financial modeling and cost modeling skills: able to build simple, credible models, pressure-test assumptions, and use data to guide prioritization and trade-off discussions.
Experience building transparency mechanisms for investment and utilization, including understanding where infrastructure or AI spend is going, where it is expected to go, and how ownership and allocation should work.
Strong technical breadth and judgment: able to partner effectively with engineering teams, drive clarity around requirements, and facilitate technical trade-offs without relying on coding depth; this is directly aligned to the technical breadth and judgment expectations in the interview guidance.
Excellent cross-functional collaboration and executive communication: able to align teams with conflicting priorities, communicate clearly upward, and influence without direct authority; this is directly aligned to the XFN collaboration and communication expectations in the interview loop.
Experience building durable mechanisms rather than just managing tasks: governance processes, planning systems, dashboards, review cadences, and decision frameworks that scale across teams.
Workflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate)
Safety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Technical Program Manager, Facility Operations 🔥 4 hours ago FluidStack 11 - 50 🤖 Artificial Intelligence Website LinkedIn All Job Openings Technical Program Manager at Fluidstack driving competency development for data center operations. Overseeing training programs and building a world-class operations workforce. 🏢🏡 San Francisco – Hybrid 💵 $150k - $250k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🔧 Technical Program Manager Technical Program Manager – Token-as-a-Service 🔥 22 hours ago OpenAI 201 - 500 🤖 Artificial Intelligence ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings Technical Program Manager leading external compute capacity delivery for OpenAI's AI models. Managing cross-functional programs and partnerships for scalable infrastructure solutions. 🏢🏡 San Francisco – Hybrid 💵 $342k - $555k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🔧 Technical Program Manager 🦅 H1B Visa Sponsor Principal Technical Program Manager 🕒 6 days ago Hayden AI 51 - 200 🤖 Artificial Intelligence 🚗 Transport 🔐 Security Website LinkedIn All Job Openings Principal Technical Program Manager leading cross-functional visibility and delivery at Hayden AI. Engaging with executive leadership to translate business commitments into engineering capacity plans. 🏢🏡 San Francisco – Hybrid 💵 $213.7k - $277.9k / year ⏰ Full Time 🔴 Lead 🔧 Technical Program Manager 🦅 H1B Visa Sponsor Environmental Health and Safety – Engineering & Technical Program Manager 🕒 6 days ago OpenAI 201 - 500 🤖 Artificial Intelligence ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings EHS Manager at OpenAI leading safety programs in engineering and technical operations environments. Focus on risk assessment and compliance with safety standards. 🏢🏡 San Francisco – Hybrid 💵 $203k - $225k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🔧 Technical Program Manager 🦅 H1B Visa Sponsor Engineering Program Manager, Hardware Sensing 🕒 April 14 ŌURA 201 - 500 🧘 Wellness Website LinkedIn All Job Openings Staff Technical Program Manager at Ōura driving integration for cutting-edge health-focused sensing technologies. Leading hardware and firmware implementation with cross-functional collaboration and strategic execution. 🏢🏡 San Francisco – Hybrid 💵 $169.2k - $233k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🔧 Technical Program Manager View More Technical Program Manager Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

capacity planningbudgetingforecastingvariance analysisfinancial modelingcost modelingscenario planningdata analysisworkflow automationAI-assisted frameworks

Soft Skills

technical leadershipcross-functional collaborationexecutive communicationinfluence without authoritydecision-makingtrade-off discussionssynthesizing inputsbuilding transparency mechanismsoperationalizing processesrisk assessment