Feedback at Anthropic is uniquely high-leverage. We're building on frontier models that evolve constantly, serving customers from individual developers to the largest enterprises, across multiple surfaces (API, claude.ai, Claude Code). Customer signal arrives from everywhere , field conversations, support interactions, early access programs, in-product telemetry , and the opportunity is to make that signal a first-class, structured input to every product and research decision.

This role will build the system that makes customer voice as easy to act on as any other data source. You treat feedback loops as a product. You're obsessed with making it effortless for the field to share what they're hearing and for product teams to know what matters most. You build AI-enabled systems that do the first pass so humans can focus on judgment, not triage. You think like a product manager, not a process administrator.

Your work will directly impact how fast Anthropic learns from its customers and how reliably that learning shapes what we build next.

Key Responsibilities

You'll own the operating system for customer feedback across all of Anthropic , one shared platform, not a collection of per-team processes. Working horizontally across every Product team, Research PM, GTM, Customer Success, and Support, you'll establish the intake, synthesis, and routing infrastructure that makes voice of the customer a first-class input to every roadmap.

You'll drive adoption through influence, making it so obviously useful that teams pull from it rather than get pushed to it.

Feedback Intake & System of Record

Own the single, org-wide pipeline that captures customer feedback from every channel , field teams, support, early access programs, in-product signals , into one structured system of record that serves every product surface.

Build intake workflows that meet teams where they already work (Slack, Gong, CRM) without creating a documentation tax. Obsess over the submitter experience so that sharing feedback is faster than not sharing it.

AI-Enabled Synthesis & Triage

Build Claude-powered pipelines that enrich, tag, cluster, and summarize unstructured feedback into trackable issues , doing the first-pass work so humans focus on verification and judgment.

Design the human-in-the-loop model: Claude proposes, PMs and field teams correct, and the system learns from those corrections over time.

Partner with Engineering and Research on tooling strategy, evals, and the closed-loop data that makes synthesis quality measurably improve.

Routing & Closing the Loop

Establish clear routing so the right feedback reaches the right product or research owner at the right time , including the path from product signal back into model training priorities.

Build the visibility layer that gives GTM and Support a clear line of sight from customer input to roadmap outcome, so they can close the loop with customers confidently and in real time.

Voice of the Customer Programs

Partner deeply with GTM, Customer Success, and Sales to design and run structured voice of the customer programs , customer advisory boards, early access programs, design partner cohorts , that generate high-signal feedback by design.

Define what 'high-signal' means: feedback tied to specific use cases, blocker severity, revenue context, and customer segments so product teams can make confident tradeoffs.

Continuous Improvement

Define and track success metrics for feedback loop health , time-to-triage, signal quality, roadmap influence, field satisfaction , and use them to identify bottlenecks.

Run regular retros with Product and GTM partners and feed learnings back into process and tooling improvements. Scale what works through documentation and enablement.

You may be a good fit if you:

Have 7+ years in product operations, customer insights, voice of the customer programs, or related roles in fast-paced tech companies.

Have personally shipped AI-enabled processes and systems , you've written the prompts, built the evals, and iterated on production LLM workflows yourself. You can talk about model behavior with specificity, not just direct others to build.

Have owned a customer feedback program end-to-end , intake, synthesis, routing, and closing the loop , that product teams actually used to make decisions. The customer mix can be enterprise, PLG, design partner, or dev community; what matters is that you designed it and ran it.

Have operated at earlier-stage and scaling companies (Series B-D or equivalent) where you built things that didn't exist yet, shipped v1s in weeks not quarters, and iterated in public.

Have operated in horizontal, cross-org roles before , you know how to build shared infrastructure that many teams depend on, drive adoption through influence rather than mandate, and earn trust across functions that don't report to you.

Are comfortable with ambiguity and can create structure where none exists , you've built the v1 of a system and iterated it into something teams rely on.

Are service-oriented and obsessed with making it easy for others to do great work.

Strong candidates may also have experience with:

Building AI-native workflows end-to-end , prompt design, evals, closed-loop improvement , and pushing the boundaries of what automation can own.

Product Management, Customer Success Operations, or Research Operations.

Feedback tooling ecosystems (Productboard, Dovetail, or homegrown equivalents) and the tradeoffs between buy vs. build.

Treating process as a product with users, metrics, and continuous iteration.

Track record of building and scaling operations programs from zero to one.

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Mixpanel turns data clarity into innovation. We're trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber. Our AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

As a Senior Enterprise Account Executive, you'll help our future customers understand the power of Mixpanel as the best-in-class product analytics solution in the market. Collaboration is key, between building strong relationships with prospects and key stakeholders to working with internal cross-functional partners like Solutions Engineering to win together as one team.

Responsibilities

• Generate new business opportunities by selling directly to top-tier digital analytics decision-makers, including C-level executives and other key stakeholders
• Manage 6-18 month sales cycles, including dovetailing customer requirements with Mixpanel's current or adjusted roadmap
• Manage customer-side buying process from discovering/creating need, building a business case to a formal RFP, procurement to IT security review process
• Maintain accurate Salesforce records related to New Business opportunities, and deliver accurate weekly forecasts related to revenue targets
• Approach all deals with a customer-focused mentality. Develop relationships and uncover the needs of multiple key stakeholders to find value moments
• Collaborate cross-functionally with key partners such as Solutions Engineering, Customer Success, Product, Marketing, and Legal to understand strategic enterprise use cases and needs

We're Looking For Someone Who Has

• At least 7+ years of experience in full-cycle SaaS Sales from prospect to close, as an Enterprise Account Executive or additional related cross-functional roles
• Proven ability to succeed in outbound prospecting and generating significant deal outcomes
• Passion for communicating value to senior stakeholders and figuring out creative ways to create success and develop new business cases internally for the company
• Proven ability to own, manage a complex sales cycle utilizing solution and value selling approaches resulting in exceeding activity, pipeline, and revenue targets
• Expertise in engaging with C-level executives and managing high-stakes negotiations
• Effective communicator and strong presenter, with proven ability to influence senior stakeholders
• Adaptability , you understand that change is constant, and you embrace it
• Agility and resilience , you move quickly and encourage continued improvement
• Strong work ethic, desire to learn, and a drive to excel
• Curiosity for the product analytics space

Bonus Points For

• Experience selling into high-growth tech companies
• Experience with Mixpanel or other analytics tools
• Specific industry experience in one or more of the following: Tech, Fintech, ecomm/retail, M&E

Compensation

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors.

Mixpanel Compensation Range: $267,750-$362,250 USD

Benefits and Perks

• Comprehensive Medical, Vision, and Dental Care
• Mental Wellness Benefit
• Generous Vacation Policy & Additional Company Holidays
• Enhanced Parental Leave
• Volunteer Time Off
• Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

• Make Bold Bets: We choose courageous action over comfortable progress.
• Innovate with Insight: We tackle decisions with rigor and judgment , combining data, experience, and collective wisdom to drive powerful outcomes.
• One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
• Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
• Champion the Customer: We seek to deeply understand our customers' needs, ensuring their success is our north star.
• Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We're a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel's pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.

Choosing to work at Mixpanel means you'll be helping the world's most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.

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This is a horizontal, org-wide role , you won't be embedded in a single product team, you'll build the shared operating system for voice of the customer that every product team, every surface, and every GTM motion plugs into.

Feedback at Anthropic is uniquely high-leverage. We're building on frontier models that evolve constantly, serving customers from individual developers to the largest enterprises, across multiple surfaces (API, claude.ai, Claude Code).

Customer signal arrives from everywhere , field conversations, support interactions, early access programs, in-product telemetry , and the opportunity is to make that signal a first-class, structured input to every product and research decision.

You treat feedback loops as a product. You're obsessed with making it effortless for the field to share what they're hearing and for product teams to know what matters most.

You build AI-enabled systems that do the first pass so humans can focus on judgment, not triage. You think like a product manager, not a process administrator.

Your work will directly impact how fast Anthropic learns from its customers and how reliably that learning shapes what we build next.

Key Responsibilities

You'll own the operating system for customer feedback across all of Anthropic , one shared platform, not a collection of per-team processes.

Working horizontally across every Product team, Research PM, GTM, Customer Success, and Support, you'll establish the intake, synthesis, and routing infrastructure that makes voice of the customer a first-class input to every roadmap.

You'll drive adoption through influence, making it so obviously useful that teams pull from it rather than get pushed to it.

Feedback Intake & System of Record

• Own the single, org-wide pipeline that captures customer feedback from every channel , field teams, support, early access programs, in-product signals , into one structured system of record that serves every product surface.

• Build intake workflows that meet teams where they already work (Slack, Gong, CRM) without creating a documentation tax. Obsess over the submitter experience so that sharing feedback is faster than not sharing it.

AI-Enabled Synthesis & Triage

• Build Claude-powered pipelines that enrich, tag, cluster, and summarize unstructured feedback into trackable issues , doing the first-pass work so humans focus on verification and judgment.

• Design the human-in-the-loop model: Claude proposes, PMs and field teams correct, and the system learns from those corrections over time.

• Partner with Engineering and Research on tooling strategy, evals, and the closed-loop data that makes synthesis quality measurably improve.

Routing & Closing the Loop

• Establish clear routing so the right feedback reaches the right product or research owner at the right time , including the path from product signal back into model training priorities.

• Build the visibility layer that gives GTM and Support a clear line of sight from customer input to roadmap outcome, so they can close the loop with customers confidently and in real time.

Voice of the Customer Programs

• Partner deeply with GTM, Customer Success, and Sales to design and run structured voice of the customer programs , customer advisory boards, early access programs, design partner cohorts , that generate high-signal feedback by design.

• Define what 'high-signal' means: feedback tied to specific use cases, blocker severity, revenue context, and customer segments so product teams can make confident tradeoffs.

Continuous Improvement

• Define and track success metrics for feedback loop health , time-to-triage, signal quality, roadmap influence, field satisfaction , and use them to identify bottlenecks.

• Run regular retros with Product and GTM partners and feed learnings back into process and tooling improvements. Scale what works through documentation and enablement.

You may be a good fit if you:

• Have 7+ years in product operations, customer insights, voice of the customer programs, or related roles in fast-paced tech companies.

• Have personally shipped AI-enabled processes and systems , you've written the prompts, built the evals, and iterated on production LLM workflows yourself.

• Have owned a customer feedback program end-to-end , intake, synthesis, routing, and closing the loop , that product teams actually used to make decisions.

• Have operated at earlier-stage and scaling companies (Series B-D or equivalent) where you built things that didn't exist yet, shipped v1s in weeks not quarters, and iterated in public.

• Have operated in horizontal, cross-org roles before , you know how to build shared infrastructure that many teams depend on, drive adoption through influence rather than mandate, and earn trust across functions that don't report to you.

• Are comfortable with ambiguity and can create structure where none exists , you've built the v1 of a system and iterated it into something teams rely on.

• Are service-oriented and obsessed with making it easy for others to do great work.

Strong candidates may also have experience with:

• Building AI-native workflows end-to-end , prompt design, evals, closed-loop improvement , and pushing the boundaries of what automation can own.

• Product Management, Customer Success Operations, or Research Operations.

• Feedback tooling ecosystems (Productboard, Dovetail, or homegrown equivalents) and the tradeoffs between buy vs. build.

• Treating process as a product with users, metrics, and continuous iteration.

• Track record of building and scaling operations programs from zero to one.

Annual compensation range for this role is $260,000-$325,000 USD

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