Product Manager, GTM Automation
Block, Inc. is a technology company building tools for economic empowerment, operating a portfolio of financial brands including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto. It serves sellers, consumers, artists, and bitcoin users through payments, banking, buy-now-pay-later, music streaming, and bitcoin self-custody and mining products.
Maintainer signals as of 8/23/2026
Projects
About Block, Inc.
Block, Inc. builds technology aimed at increasing access to the global economy. Its brands each unlock different aspects of the economy: Square makes commerce and financial services accessible to sellers; Cash App is an easy way to spend, send, and store money; Afterpay (Clearpay in the UK) helps customers manage spending over time; TIDAL is a music platform empowering artists as entrepreneurs; Bitkey is a self-custody bitcoin wallet; and Proto builds open, accessible bitcoin mining hardware and services. Block has been a long-time advocate for bitcoin, integrating bitcoin buying/selling and Lightning Network payments into Cash App and Square, funding open-source bitcoin infrastructure through Spiral (including the Lightning Development Kit), and engaging in bitcoin policy advocacy through groups like COPA, the Digital Energy Council, the Crypto Council for Innovation, and the Texas Blockchain Council. The company also runs a significant open source program (contributing to projects like Goose, an on-machine AI developer agent, OkHttp, Retrofit, gRPC, Envoy, and MySQL) and an AI research effort, including co-founding the Agentic AI Foundation with Anthropic and OpenAI. Block serves individual consumers, small and medium-sized businesses/merchants, artists, and developers.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Shape the automation backbone of Block’s GTM platform, deciding where automation should exist and how humans remain in the loop. Own products end to end from concept through production, partnering with engineering, ML, data, design, operations, legal, security, and compliance to deliver intelligent, reliable, and responsible systems across sales, marketing, partnerships, account management, and communications.
Requirements
- 7 to 10 years of product management experience shipping AI- or ML-driven products.
- Technical intuition around machine learning systems, training loops, evaluation, prompt design, data pipelines, and real-time inference.
- Experience running structured experiments such as A/B tests and offline model evaluations.
- Ownership mindset and ability to drive complex cross-team initiatives independently.
- Clear communication skills for executive, technical, and operational audiences.
- Experience in scaled, high-stakes, or regulated environments such as risk, compliance, or operations.
- Strong understanding of AI quality, safety, and responsible use.
- Hands-on experience with LLMs, multimodal models, or applied generative AI.
- Technical or analytical background preferred.
- GTM process and tooling domain knowledge preferred.
Responsibilities
- Own the strategy and roadmap for AI-powered products.
- Identify automation opportunities based on user pain and measurable business outcomes.
- Turn ambiguous, high-stakes problems into product direction and requirements.
- Partner with ML engineers, data scientists, and researchers on model goals, data strategy, evaluation, and quality thresholds.
- Design and run experiments, including A/B tests and offline evaluations.
- Define product behavior across success paths, failures, and edge cases.
- Own metrics for accuracy, safety, latency, reliability, and user trust.
- Build intuitive, transparent, and safe human-AI interactions with design.
- Collaborate with legal, security, and compliance on responsible AI in regulated environments.
- Lead cross-functional execution from concept to launch and continuous improvement.
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
