Full-Time

Technical Program Manager

Product

Posted on 4/12/2025

Anthropic

Anthropic

1,001-5,000 employees

Develops reliable and interpretable AI systems

Compensation Overview

$290k - $365k/yr

Senior, Expert

H1B Sponsorship Available

San Francisco, CA, USA

Currently, we expect all staff to be in one of our offices at least 25% of the time.

Category
Project Management
Engineering Management
Business & Strategy
Required Skills
Machine Learning
Requirements
  • 7+ years of technical program management experience, ideally in AI/ML product development
  • A track record of successfully delivering complex technical programs
  • Skilled at coordinating technical projects across multiple engineering and research teams
  • Exceptionally strong interpersonal and communication skills that enable you to influence without authority and build cross-organizational support
  • A high threshold for navigating ambiguity and can balance setting strategic priorities with rapid, high-quality execution
  • Comfortable diving deep into technical details while maintaining a high-level view of program status
  • Thrive in unstructured environments and have a knack for bringing order to chaos
  • Experienced with product development methodologies and release management
  • Highly organized and can manage multiple parallel workstreams effectively
  • A track record of building trust with engineering teams and driving technical changes through influence
  • Passionate about Anthropic's mission and ensuring AI is developed safely
Responsibilities
  • Collaborate with engineering leaders and technical teams to define, scope, and sequence major technical initiatives and projects
  • Lead cross-functional coordination and planning for complex engineering projects, acting as the glue between product, engineering, and business orgs
  • Partner with product managers and engineers to understand and execute product launch plans, including coordinating feature development and deployment
  • Build and maintain relationships with research teams to translate cutting-edge capabilities into customer-ready features
  • Create detailed project plans, timelines, and resourcing strategies for technical projects
  • Develop processes to better track and document product requirements and feature specifications
  • Provide clear and transparent reporting on program status, issues, and risks to executives and stakeholders
  • Establish scalable program management frameworks, playbooks, and best practices
  • Foster a culture of accountability, rigor, and continuous improvement on the technical program management team
Desired Qualifications
  • Experience in AI/ML product development
  • Ability to thrive in unstructured environments
  • Experience building trust with engineering teams

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, is an AI assistant that can perform a variety of tasks for clients across different industries. Claude uses advanced techniques in natural language processing, reinforcement learning, and human feedback to understand and respond to user needs effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also easy to understand and control. The company's goal is to enhance operational efficiency and decision-making for its clients through the deployment and licensing of its AI technologies, as well as by providing specialized research and development services.

Company Size

1,001-5,000

Company Stage

Series E

Total Funding

$16.8B

Headquarters

San Francisco, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Voice AI technology advancements support Claude's upcoming voice capabilities.
  • AI integration with productivity tools shows strong demand for Claude's features.
  • AI-driven research tools are essential in enterprise settings, benefiting Claude's research feature.

What critics are saying

  • OpenAI's GPT-4.1 models pose a competitive threat to Claude.
  • Writer's 'AI HQ' platform challenges Anthropic in the enterprise AI sector.
  • Salesforce's AI code generation indicates a rapidly evolving market Anthropic must keep pace with.

What makes Anthropic unique

  • Anthropic focuses on AI safety, transparency, and alignment with human values.
  • Claude integrates with Google Workspace, enhancing productivity for enterprise users.
  • Anthropic emphasizes reliable, interpretable, and steerable AI systems.

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Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-4%

1 year growth

7%

2 year growth

2%
PYMNTS
Apr 16th, 2025
Report: Anthropic Set To Add Voice Capabilities To Ai Assistant Claude

Anthropic is reportedly set to add voice capabilities to its artificial intelligence (AI) assistant, Claude. The new “voice mode” could be released this month and will first be available on a limited basis, Bloomberg reported Tuesday (April 15), citing an unnamed source. It will include three voices, the report said, citing the source and Bloomberg’s own review of the app’s publicly available iOS code. The report added that these plans could change

Crypto Report Club
Apr 16th, 2025
NVIDIA says the US has put export restrictions on H20 AI chips

Anthropic introduced that its Claude AI can combine with Google Workspace.

VentureBeat
Apr 15th, 2025
Claude Just Gained Superpowers: Anthropic’S Ai Can Now Search Your Entire Google Workspace Without You

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Anthropic launched major upgrades to its Claude AI assistant today, introducing an autonomous research capability and Google Workspace integration that transform the AI into what the company calls a “true virtual collaborator” for enterprise users. The expansion directly challenges OpenAI and Microsoft in the increasingly competitive market for AI productivity tools.The new Research capability enables Claude to independently conduct multiple searches that build upon each other while determining what to investigate next. Simultaneously, the Google Workspace integration connects Claude to users’ emails, calendars, and documents, eliminating the need for manual uploads.Credit: Anthropic‘Minutes not hours’: How Claude’s research speed aims to win over busy executivesAnthropic positions Claude’s Research functionality as dramatically faster than competing solutions, promising comprehensive answers in minutes rather than the “up to 30 minutes” they claim rival products require.“At Anthropic, we’re laser-focused on enterprise workers and use cases, and our Research tool is reflective of that,” an Anthropic spokesperson told VentureBeat. “Research is a tool to help enterprise workers get well-researched answers to queries in less than a minute

Geekflare
Apr 15th, 2025
Claude App Is Getting a New Feature, But It's Still Hidden

Anthropic is testing a voice-based search mode on its Claude app, at least on the iOS version.

VentureBeat
Apr 14th, 2025
Openai’S New Gpt-4.1 Models Can Process A Million Tokens And Solve Coding Problems Better Than Ever

OpenAI launched a new family of AI models this morning that significantly improve coding abilities while cutting costs, responding directly to growing competition in the enterprise AI market.The San Francisco-based AI company introduced three models — GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano — all available immediately through its API. The new lineup performs better at software engineering tasks, follows instructions more precisely, and can process up to one million tokens of context, equivalent to about 750,000 words.“GPT-4.1 offers exceptional performance at a lower cost,” said Kevin Weil, chief product officer at OpenAI, during Monday’s announcement. “These models are better than GPT-4o on just about every dimension.”Perhaps most significant for enterprise customers is the pricing: GPT-4.1 will cost 26% less than its predecessor, while the lightweight nano version becomes OpenAI’s most affordable offering at just 12 cents per million tokens. VIDEO. How GPT-4.1’s improvements target enterprise developers’ biggest pain pointsIn a candid interview with VentureBeat, Michelle Pokrass, post training research lead at OpenAI, emphasized that practical business applications drove the development process.“GPT-4.1 was trained with one goal: being useful for developers,” Pokrass told VentureBeat. “We’ve found GPT-4.1 is much better at following the kinds of instructions that enterprises use in practice, which makes it much easier to deploy production-ready applications.”This focus on real-world utility is reflected in benchmark results