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Technical Program Manager Jobs in Fairfield, CA (NOW HIRING)

DocuSign

Lead Technical Program Manager

San Francisco, CA · Hybrid

$152K - $196K/yr

What you'll do The Lead Technical Program Manager will lead and motivate our teams by introducing efficient processes, driving innovative and measurable solutions to maximize efficiency for team ...

Pinterest

Staff Technical Program Manager

San Francisco, CA · On-site +1

$152K - $196K/yr

As a Staff Technical Program Manager for Measurement, you'll have the rare opportunity to shape how a company the size of Pinterest measures itself - turning a portfolio spanning experimentation ...

Adobe

Principal Technical Program Manager

San Francisco, CA

$152K - $196K/yr

Adobe is seeking a Principal Technical Program Manager to help Firefly Foundry complete strategic goals for building new GenAI-powered experiences for enterprise customers. These experiences will ...

Anthropic

Technical Program Manager, Compute

San Francisco, CA · On-site +1

$152K - $196K/yr

About the Role As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running ...

Sentry

Staff Technical Program Manager

San Francisco, CA · On-site

$200K - $240K/yr

We're looking for a Staff Technical Program Manager who can operate at the intersection of technical depth and strategic execution: someone who thrives in complexity, builds trust with senior ...

Accellor

Technical Program Manager, Salesforce

Berkeley, CA

$158K - $204K/yr

Altera is seeking a Technical Program Manager (TPM) to lead strategic initiatives across Salesforce, customer data, and Go-To-Market systems. This role sits at the center of engineering, sales, and ...

Accellor

Technical Program Manager, Salesforce

Oakland, CA · On-site

$148K - $191K/yr

Altera is seeking a Technical Program Manager (TPM) to lead strategic initiatives across Salesforce, customer data, and Go-To-Market systems. This role sits at the center of engineering, sales, and ...

Accellor

Technical Program Manager, Salesforce

Oakland, CA · On-site

$150 - $210/hr

Altera is seeking a Technical Program Manager (TPM) to lead strategic initiatives across Salesforce, customer data, and Go-To-Market systems. This role sits at the center of engineering, sales, and ...

New

Accellor

Technical Program Manager, Salesforce

Berkeley, CA · On-site

$158K - $204K/yr

Altera is seeking a Technical Program Manager (TPM) to lead strategic initiatives across Salesforce, customer data, and Go-To-Market systems. This role sits at the center of engineering, sales, and ...

New

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All JobsTechnical Program JobsTechnical Program Manager JobsTechnical Program Manager Jobs in Fairfield, CA

Technical Program Manager information

See Fairfield, CA salary details

$90.6K

$148.2K

$171.5K

How much do technical program manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for technical program manager in Fairfield, CA is $148,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,300.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a technical program manager, and why are they important?

To thrive as a Technical Program Manager, you need a strong background in project management, software development processes, and a relevant technical degree or equivalent experience. Familiarity with tools like Jira, Confluence, Agile methodologies, and PMP or Scrum certifications is highly beneficial. Excellent communication, leadership, and problem-solving skills set top performers apart in this role. These skills ensure seamless project delivery, effective team collaboration, and alignment between technical teams and business goals.

What is a technical program manager?

A technical program manager oversees a company’s technical projects, such as implementing new network systems or developing new products. Job duties include supervising development teams, assessing work schedules, assessing productivity, and addressing any quality assurance issues that arise during production. Technical program managers are often responsible for creating reports to upper management based on the functions of the products and making suggestions on how to streamline future projects. They may also help the organization develop new strategies related to production and sales goals.

What is the difference between Technical Program Manager vs Software Engineer?

AspectTechnical Program ManagerSoftware Engineer
Primary RoleOversees project execution, coordinates teams, manages timelinesDesigns, develops, tests software applications
Required SkillsProject management, communication, technical understandingProgramming, software development, problem-solving
Work EnvironmentCross-functional teams, project-focusedDevelopment teams, coding environments
CertificationsPMP, Agile certifications often preferredNone mandatory, but certifications like Scrum or AWS helpful

While Technical Program Managers coordinate and oversee projects across teams, Software Engineers focus on building and coding software solutions. Both roles require technical understanding, but their core responsibilities differ significantly.

How do technical program managers typically collaborate with engineering and product teams to ensure project success?

Technical Program Managers (TPMs) play a central role in facilitating communication and alignment between engineering, product, and other cross-functional teams. They work closely with product managers to define project requirements and prioritize deliverables, while coordinating with engineering to develop realistic timelines and resolve technical challenges. TPMs often lead regular meetings, track progress, and proactively address risks to keep everyone on the same page. Building strong relationships and fostering a culture of open dialogue are essential for TPMs to ensure projects stay on track and meet business goals.
More about Technical Program Manager jobs
What are popular job titles related to Technical Program Manager jobs in Fairfield, CA? For Technical Program Manager jobs in Fairfield, CA, the most frequently searched job titles are:
What job categories do people searching Technical Program Manager jobs in Fairfield, CA look for? The top searched job categories for Technical Program Manager jobs in Fairfield, CA are:
What cities near Fairfield, CA are hiring for Technical Program Manager jobs? Cities near Fairfield, CA with the most Technical Program Manager job openings:
Technical Program Manager jobs near you
Infographic showing various Technical Program Manager job openings in Fairfield, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $148,224 per year, or $71.3 per hour.

Technical Program Manager, Research

Anthropic

San Francisco, CA • On-site

$152K - $196K/yr

Other

Re-posted 28 days ago

Job description

About the Role

Anthropic's research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before.
Note: This role may require responding to incidents on short-notice, including on weekends.

Responsibilities
  • Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve
  • Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast
  • Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent
  • Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down
  • Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams
  • Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing
  • Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning
  • Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations
  • Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution
You May Be a Good Fit If You
  • Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems
  • Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers
  • Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments
  • Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization
  • Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership
  • Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery
  • Are comfortable with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes
  • Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
  • Are excited to redefine what technical program management looks like at the frontier of AI research

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