Product Manager, Automation - Go to Market (GTM)

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

We are building the automation backbone of Block. The systems you help create will decide how work flows, how decisions are made, and how fast the company can move. This platform powers GTM automation across Sales, Marketing, and Account Management. When it works, Block scales with confidence, speed, and precision.

As a Product Manager on the GTM Automation team, you will shape AI products that fundamentally change how work gets done. You will decide where automation should exist, where humans must stay in the loop, and how the two work together at scale. Your work will directly impact quality, cost, growth, efficiency and reliability across the company.

This is a hands-on, end-to-end role. You will be a builder, owning problems from first principles to production reality. You will work side by side with engineering, machine learning, data, design, and operations to turn messy, ambiguous workflows into intelligent systems that deliver real results.

The scope centers on automating core commercial functions across the full Go-to-Market lifecycle. You bring a deep understanding of sales, from prospecting and pipeline development through negotiation, close, and post-sale account management. You also understand the end-to-end marketing lifecycle, including strategy, segmentation, campaign development, and launch.

Critically, you see how marketing and sales interlock: how marketing drives top-of-funnel demand, influences pipeline velocity, and supports retention and expansion. You’re comfortable operating across both domains and connecting the dots to drive cohesive, scalable commercial execution.

You Will

• Own the strategy and roadmap for AI-powered products that matter
• Identify automation opportunities rooted in real user pain and measurable business outcomes
• Turn ambiguous, high-stakes problems into clear product direction and requirements
• Partner deeply with ML engineers, data scientists, and researchers on model goals, data strategy, evaluation, and quality thresholds
• Design and run experiments to test ideas fast and learn even faster
• Define product behavior across success paths, failures, and edge cases
• Set and own metrics for accuracy, safety, latency, reliability, and user trust
• Work with design to build human-AI interactions that are intuitive, transparent, and safe
• Collaborate with legal, security, and compliance to ship responsible AI in regulated environments
• Lead cross-functional execution from concept to launch and continuous improvement

You Have

• 6 to 9 years of product management experience, with a strong track record shipping AI or ML-driven products
• Deep technical intuition around machine learning systems, including training loops, evaluation, prompt design, data pipelines, and real-time inference constraints
• Experience running structured experiments such as A/B tests and offline model evaluations
• A true ownership mindset and the ability to drive complex initiatives across teams without waiting for permission
• Clear, compelling communication skills for executive, technical, and operational audiences
• Worked deeply with Sales and Marketing leaders; truly understanding their jobs to be done, workflows, pain points and tooling stacks
• Experience working 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

Highly Preferred

• Technical or analytical background

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.

Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.