Full-Time

Research Product Marketing Lead

Confirmed live in the last 24 hours

Anthropic

Anthropic

1,001-5,000 employees

Develops reliable and interpretable AI systems

Compensation Overview

$355k/yr

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
General Marketing
Growth & Marketing
Required Skills
Machine Learning
Requirements
  • 15+ years of experience in product marketing, with at least 4+ years in a leadership role managing high-performing teams
  • Proven experience as an early marketer who helped build at least 1-2 major technology companies from early stages to market leadership
  • Exceptional writing and communication skills—known as a 'model thinker' who creates frameworks that others adopt
  • Deep experience marketing developer-focused products, including complex technical platforms or infrastructure
  • Ability to work directly with C-level executives and translate between technical and business stakeholders seamlessly
  • Ability to thrive in high-pressure, ambiguous environments requiring independent judgment and creative problem-solving
  • Track record of driving measurable business impact through strategic marketing initiatives
  • Technical acumen to understand AI/ML concepts and translate them into compelling market narratives
  • Comfortable being a direct, critical link between research innovation and revenue generation
  • Experience building and scaling teams in fast-paced, high-growth environments
Responsibilities
  • Define and execute comprehensive product marketing strategies for Anthropic's research innovations and frontier models, directly impacting revenue growth and market position
  • Partner with Research Product Management to translate complex technical breakthroughs into compelling value propositions that resonate with developers, enterprises, and the broader AI ecosystem
  • Build and lead a high-performing research product marketing team that operates with exceptional speed and autonomy
  • Work directly with executives and research leadership to craft Anthropic's narrative on AI safety, capabilities, and industry leadership
  • Create definitive content that establishes Anthropic as the thought leader in AI advancement—from technical documentation to executive keynotes
  • Drive significant business impact through strategic launches that transform research breakthroughs into market-defining products
  • Develop frameworks and playbooks for marketing net-new AI capabilities with no existing market category
  • Act as the primary storyteller who can articulate complex AI concepts to diverse audience—from developers to C-suite executives to policymakers
  • Forge relationships with key industry influencers and technical decision-makers to amplify Anthropic's market presence
  • Navigate highly ambiguous challenges that arise from being at the frontier of AI technology
Desired Qualifications
  • Possess a technical background (CS degree, engineering experience) combined with marketing expertise
  • Experience positioning and launching products that created entirely new market categories
  • Expertise in both developer marketing and enterprise go-to-market strategies
  • Worked in AI/ML companies or marketed AI products to technical audiences
  • Demonstrate thought leadership through published work, speaking engagements, or industry recognition
  • Success in high-visibility, executive-facing roles where independent judgment was critical

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, is an AI assistant that can perform various 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 requests 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 solutions, as well as 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

  • Anthropic secured a $2.5B credit facility, enhancing financial flexibility and growth potential.
  • Integration with platforms like Notion expands Claude's market reach and application.
  • AI-driven interpretability tools are gaining traction, boosting Anthropic's model transparency.

What critics are saying

  • Increased competition from GitHub Copilot's autonomous features challenges Anthropic's market position.
  • Anthropic is losing ground in key AI categories, impacting competitive positioning.
  • Meta's AI model delays highlight pressure on Anthropic to meet high performance standards.

What makes Anthropic unique

  • Anthropic focuses on AI safety, transparency, and alignment with human values.
  • Claude, Anthropic's AI assistant, handles tasks at any scale for diverse industries.
  • Anthropic emphasizes reliable, interpretable, and steerable AI systems in its offerings.

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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

-7%

1 year growth

3%

2 year growth

0%
VentureBeat
May 19th, 2025
Github Copilot Evolves Into Autonomous Agent With Asynchronous Code Testing

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Microsoft’s hit AI programming tool GitHub Copilot wants to move away from simply helping people complete code and as of today, will allow for users to set up asynchronous code testing. The move brings GitHub Copilot to work more autonomously for developers, keeping the app competitive as the AI coding assistant space has become more crowded with AI-powered tools, including Microsoft investment OpenAI’s rival Codex software engineering agent released Friday.GitHub Copilot Agent, first announced as Project Padawan back in February, will check, test and iterate code. When invoked, Copilot Agent can navigate the repo, edit files, run commands and open pull requests. Mario Rodriguez, chief product officer at GitHub, told VentureBeat that GitHub Copilot Agent could open developers up to focus on other tasks while ensuring any previous code they wrote works. “I could go into an issue, and before, I needed to go back into my IDE, clone that repo, open the issue to try and figure it out, et cetera, et cetera,” Rodriguez said. “Now I can just assign it to Copilot and it’s right there along with my other peers.”He added that the Copilot Agent embeds into GitHub and follows the user’s style, and that the human developer can monitor it because the agent logs its reasoning and validation steps.  A developer can assign the issue to the agent as much as they would for human coworkers

VentureBeat
May 19th, 2025
Microsoft Announces Over 50 Ai Tools To Build The ‘Agentic Web’ At Build 2025

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Microsoft launched a comprehensive strategy to position itself at the center of what it calls the “open agentic web” at its annual Build conference this morning, introducing dozens of AI tools and platforms designed to help developers create autonomous systems that can make decisions and complete tasks with limited human intervention.The Redmond, Wash.-based technology giant introduced more than 50 announcements spanning its entire product portfolio, from GitHub and Azure to Windows and Microsoft 365, all focused on advancing AI agent technologies that can work independently or collaboratively to solve complex business problems.“We’ve entered the era of AI agents,” said Frank Shaw, Microsoft’s Chief Communications Officer, in a blog post coinciding with the Build announcements. “Thanks to groundbreaking advancements in reasoning and memory, AI models are now more capable and efficient, and we’re seeing how AI systems can help us all solve problems in new ways.”How AI agents transform software development through autonomous capabilitiesThe concept of the “agentic web” moves far beyond today’s AI assistants. While current AI tools mainly respond to human questions and commands, agents actively initiate tasks, make decisions independently, coordinate with other AI systems, and complete complex workflows with minimal human supervision. This marks a fundamental shift in how AI systems operate and interact with both users and other technologies.Kevin Scott, Microsoft’s CTO, described this shift during a press conference as fundamentally changing how humans interact with technology: “Reasoning will continue to improve

TokenPost
May 17th, 2025
Anthropic Secures $2.5B Credit Facility

Anthropic, a generative AI startup, secured a $2.5 billion revolving credit facility to accelerate growth, with participation from major banks like Morgan Stanley and Goldman Sachs. This facility enhances liquidity and financial flexibility. Previously, Anthropic received an $8 billion convertible bond investment from Amazon. As of Q1, Anthropic's annualized revenue exceeded $2 billion, doubling from the previous year, with a significant increase in high-spending customers.

TradingView
May 16th, 2025
Anthropic secures $2.5B credit line

Anthropic has secured a $2.5 billion, five-year revolving credit line, according to a CNBC report. Note that Reuters has not verified the accuracy of this story.

PYMNTS
May 15th, 2025
Report: Meta Delays Rollout Of Behemoth Ai Model Amid Performance Concerns

Meta reportedly delayed the rollout of its flagship artificial intelligence model called Behemoth.The company internally planned to release Behemoth in April, later pushed the release date to June, and has now delayed the launch at least until fall, The Wall Street Journal reported Thursday (May 15), citing unnamed sources.The company has not publicly committed to a timeline for the product, the report said.Meta did not immediately reply to PYMNTS’ request for comment.The launch delays have been caused by struggles to improve the AI model and by concerns that the model’s performance won’t live up to that promoted in public statements, according to the report.In public statements, Meta has said that Behemoth already outperforms similar models from Anthropic, Google and OpenAI on certain tests, per the report.When releasing the latest versions of its Llama AI model April 5, Meta said in a press release: “We’re also previewing Llama 4 Behemoth, one of the smartest LLMs in the world and our most powerful yet to serve as a teacher for our new models.”Meta CEO Mark Zuckerberg said April 30 during a first-quarter earnings call that the company will increase its spending for AI data centers this year as it embeds the technology more deeply throughout its family of apps.The company plans to record $64 billion to $72 billion in capital expenditures, up from $60 billion to $65 billion, while striving to meet demand for computing resources.“The major theme right now, of course, is how AI is transforming everything we do,” Zuckerberg said. “The opportunities ahead for us are staggering. To that end, we are accelerating some of our efforts to bring capacity online more quickly this year, as well as some longer-term projects that will give us flexibility to add capacity in the coming years.”Meta’s open-source AI models that were released April 5 — Llama 4 Scout and Llama 4 Maverick — are a shot across the bow to rivals’ more expensive closed models and good news for businesses hoping to lower the cost of deploying AI, PYMNTS reported April 9.For all PYMNTS AI coverage, subscribe to the daily AI Newsletter