Automation that moves everyone forward. 

Zapier is on a mission to make automation work for everyone. With Zapier, you can integrate apps like Salesforce, Intuit, Google, and Dropbox, to move data between them automatically, so you can focus on your most important work.

Zapier

Equity / Stock Options

Bonus

, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them 

How to Collaborate with AI During Zapier’s Hiring Process

 including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.

 Americas (North, Central and South America)

Zapier is hiring a Manager, Analytics & Strategy to lead our newly formed GTM Analytics team. This team is the central analytics home for Marketing, Sales, RevOps, and Customer Ops, with a mandate to deliver trusted GTM insights, improve the quality and speed of decision-making, and turn repeated questions into durable self-service analytics assets.

You will manage a team of embedded analysts supporting Marketing, Sales, and Support/Customer Ops. Your team will own the day-to-day analytics interface for GTM leaders: funnel reporting, campaign performance, sales and support analytics, forecasting inputs, recurring business reviews, dashboarding, metric definitions, and urgent executive questions.

This is a hands-on analytics leadership role. we're looking for someone who has deep analytics judgment, strong SQL skills, and real GTM domain expertise. You might come from a sales analytics, marketing analytics, revenue analytics, finance, or investment banking environment. The common thread is that you know how to operate with urgency, precision, and a high quality bar, and you are energized by analytics work: scoping ambiguous business questions, pressure-testing numbers, coaching people through complex GTM data questions, and delivering clear recommendations under time pressure.

This is not a pure people-management role. You should be able to lean into advanced analytics, understand core statistical concepts, and guide work on experimentation, forecasting, or segmentation when the work calls for it, but the center of gravity is analytics leadership: trusted reporting, business partnership, analytical QA, stakeholder management, and building a faster, more consistent operating model for GTM data. You should also be AI-native in how you work and excited to make this team a proving ground for self-service analytics, analyst automation, and governed AI-assisted data workflows.

 You have 6+ years of experience in analytics, finance, revenue operations, marketing analytics, sales analytics, business operations, investment banking, or a related field. You have managed analysts or analytics-adjacent teams for at least 1 year, but you are still comfortable rolling up your sleeves to review SQL, inspect a dashboard, pressure-test assumptions, and help frame the answer.

 You understand how marketing, sales, customer operations, and revenue motions fit together. You have worked with funnels, pipeline, bookings or ARR, campaign performance, sales productivity, support performance, forecasting, attribution, segmentation, or lifecycle analytics. You know how to translate GTM questions into metrics, cuts, cohorts, and recommendations that leaders can act on.

You are excellent with SQL and analytical reasoning.

 You read and write SQL, reason about grain and joins, identify data quality issues, and coach analysts toward cleaner, more reliable methods. You are comfortable with statistics and advanced analytics concepts such as confidence intervals, incrementality, cohorting, regression, forecasting, and experiment readouts, and you know when to partner with Data Science for heavier modeling work.

You bring finance-grade rigor and urgency.

 You can operate in a fast-twitch environment where leaders need clear answers quickly. You know how to separate what must be directionally right today from what needs a deeper follow-up, and you keep quality high even when timelines are short. Experience in investment banking, finance, FP&A, revenue analytics, or another high-intensity analytical environment is a strong plus.

You set a high bar for quality, trust, and communication.

 You know that GTM analytics only works when stakeholders trust the numbers. You build review mechanisms, documentation habits, and QA standards that make dashboards and analyses easier to trust. You can explain caveats without hiding behind them, and you help teams align on source-of-truth metrics across Data, Finance, Marketing, Sales, and Customer Ops.

 You raise the performance of analysts through clear expectations, thoughtful feedback, technical coaching, and strong prioritization. You know how to help analysts grow and coach them through ambiguous requests and work that should be automated or moved into self-service.

 You actively use modern AI tools to accelerate analysis, QA SQL, summarize stakeholder context, produce documentation, and prototype workflows. You are excited to make AI central to the team's operating model, and to turn repeated analyst workflows into governed self-service assets, AI primitives, reusable dashboards, or model improvements.

You can manage across analysts and data engineers.

 You understand the difference between stakeholder-facing analytics and data foundation work, and you help both groups work together effectively.


Lead the Analytics & Strategy team, managing analysts embedded with Marketing, Sales, and Support/Customer Ops.

Build a fast, trusted operating model for intake, prioritization, QA, stakeholder communication, and recurring business reviews.

Coach analysts to deliver high-quality work across funnel reporting, campaign performance, sales analytics, support analytics, forecasting, segmentation, attribution, and executive readouts.

Partner with GTM leaders to clarify ambiguous questions, identify the decisions at stake, and make sure the team's work leads to concrete business action.

Review SQL, dashboards, metric definitions, data caveats, and analytical narratives so the team can move quickly without lowering the quality bar.

Make the team the intake point for self-service and AI automation opportunities: recognize duplicate asks, separate one-off requests from repeatable workflows, and turn recurring patterns into AI primitives, governed dashboards, metric documentation, and model improvement requests that build the robot over time.

Bring advanced analytics judgment to experimentation, incrementality, cohort analysis, forecasting, segmentation, and statistical readouts, while partnering with Data Science for deeper modeling needs.

Leverage AI tools in your own workflow and your team's workflows, helping the team move faster while maintaining accuracy, documentation, and governance.

Develop analysts through clear expectations, direct feedback, growth paths, and a strong peer learning culture.

The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.

Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out

 for a list of countries where we currently cannot have Zapiens permanently working.

Experience Requirement

Zapier is seeking a Manager, GTM Analytics to lead a newly formed team supporting Marketing, Sales, and Customer Operations. This hands-on leadership role involves managing analysts, driving GTM insights, and leveraging AI-assisted data workflows using SQL and advanced analytics.

$174.2K – $261.3K • Offers Equity • Offers Bonus • Multiple Ranges

Base Salary $174.2K – $261.3K • Offers Equity • Offers Bonus

United States

Base Salary CA$174.2K – CA$261.3K • Offers Equity • Offers Bonus

Canada

Manager, GTM Analytics

Full Time

As Zapier expands into the enterprise market and accelerates AI-driven development, incident management is a front-line function for customer trust and operational reliability. The Incident Operations Specialist role is the engine that keeps the day-to-day operation of Zapier's incident program running — reliably, visibly, and at scale.

You'll report to the Incident Program Manager and operate under their direction, owning the execution of the systems, workflows, and tooling that power incident response across Zapier. You are the person in the operations center: you keep things moving, you surface what's broken, and you use AI to build automation that lets a small team operate like a much larger one.

This isn't a pure engineering role; it's an ops role with technical depth. The right person thinks in systems, writes automation to scale their own work. They use AI as a default, build repeatable workflows, and leave things more reliable than they found them.

The role is particularly exciting because decisions here ripple across Zapier, shaping how we manage a key process that involves the whole company.

. You keep complex systems running. You understand how incident tooling (

, PagerDuty, observability, integrations, Slack workflows) plugs together, you notice when something breaks before anyone else does, and you fix it. Configuration, routing, escalation paths, on-call schedules — this is your domain.

 You use AI-native tools (Cursor, Claude, Copilot, or similar) as your standard working environment, not as a novelty. You've built repeatable AI-powered workflows — things that keep running when you're offline. You know when an AI output needs verification, and you've built quality checks into your systems. You can quantify how your AI usage has actually changed throughput or quality.

You're technical enough to operate the tools and build custom ones.

 You're not a software engineer, but you can build custom automations, write SQL to pull from Databricks, configure API integrations, and prototype lightweight AI agents to extend your own capabilities. You operate comfortably in GitLab, Coda, Slack APIs, and observability tools. If a workflow doesn't exist, you build it. If a dashboard is broken, you fix it.

 You finish what you start without needing follow-up. Jira reflects reality. Commitments land on time. When something slips, you flag it early; you don't go quiet.

You receive requests from multiple directions. You apply judgment, push back on low-priority work that doesn't align with program goals, and protect your capacity for high-impact operational work. You clearly and quickly escalate trade-offs rather than getting pulled thin.

You understand that incident rotations mean incidents are shared responsibility.

 You're empathetic with commanders under pressure, give feedback that improves future response without creating friction, and embrace feedback on your own work. You make the whole community better — you don't position yourself as the single point of expertise.

You're curious and resourceful. You ask the right questions to understand customer and technical impact, then translate that into plain-language guidance for Support, GTM, and leadership — without losing the signal.

You work async-first. Zapier is 100% remote.

 You write clearly and proactively. You design your work to be transparent and handoff-ready. You know when to escalate to a live conversation and when to make the call and document it.

Maintain the reliability and configuration of 

, PagerDuty, Slack-based workflows, on-call rotations, and escalation paths. Monitor integrations and automations for issues. Fix what breaks.

Build and maintain AI-powered workflows. 

Design and ship repeatable automation: incident thread summarization, postmortem draft generation, follow-up triage, severity classification, and data hygiene workflows. Turn one-off experiments into durable systems that compound over time. Keep improving them.

Grow and maintain a community of practice for Incident Commanders and Support Leads. Run regular touchpoints, share learnings across incidents, and coach responders on what good looks like. You are a resource others come to — not just a system operator.

Build, maintain, and troubleshoot dashboards and reports (Databricks, Grafana, Looker). Ensure data quality, field completeness, and metric accuracy. Surface trends and operational signals to the Incident Program Manager before they become problems.

Maintain documentation and enablement assets. 

Keep playbooks, templates, and incident guides current and usable under pressure. Flag gaps where program-level guidance needs updating. Be the go-to resource for questions about tooling and process.

Participate in incidents and postmortem reviews. Identify patterns across incidents. Implement improvements based on hands-on observation. Surface recurring friction to the Incident Program Manager with recommended solutions, not just problems.

. Incidents touch Engineering, Support, GTM, Legal, and Finance. You coordinate across these teams without needing the Program Manager to broker every conversation. You know who to loop in, when, and how to communicate what they need to act.

 As the program expands to cover Support, Legal, PR, and Finance, help onboard and enable new stakeholder groups. Build the infrastructure that lets the program run self-sufficiently — including during your own PTO.

Data & Reporting: Databricks, Grafana, Looker, SQL

Observability context: Datadog, Grafana, Prometheus, Opensearch, Graylog

Collaboration: GitLab, Coda, Google Workspace, Jira, Zendesk

AI tooling: Cursor, Zapier AI, Claude, or equivalent

Experience in incident response, technical operations, or a reliability-adjacent role

Hands-on familiarity with incident tooling (

, PagerDuty or equivalent), and Slack-based workflow automation

Comfortable building with SQL and reporting tools (Databricks, Looker, Grafana)

Able to diagnose operational issues using logs, system context, and integration debugging

Can build lightweight automations, configure APIs, and prototype AI workflows — doesn't require an engineer to do it for them

Demonstrably uses AI in daily work: for drafting, summarizing, building workflows, and triaging

Has built repeatable AI-powered workflows (not just one-off prompts)

Applies verification and judgment to AI outputs — especially in high-pressure incident contexts

Can articulate how their AI usage has improved speed, quality, or operational capacity

Independently drives problems to resolution when direction is clear but the path requires investigation

Strong attention to detail in configuration, data quality, and documentation

Works visibly — status in public channels, proactive updates, no need to chase

Proven track record of respectfully disagreeing and committing — you raise concerns early, then execute once a decision is made.

Clear written communication across orgs like engineering, support, and ops audiences

Proactive in surfacing risks, blockers, and improvement opportunities

Comfortable pushing back on off-program requests and escalating trade-offs

Able to communicate highly technical incident information to non-technical audiences — Support teams, GTM partners, and leadership — clearly and without jargon.

Incident tooling runs reliably with no surprises. Routing, escalation, and on-call systems behave as expected.

Dashboards and operational reports are accurate, up to date, and trusted by the Incident Program Manager and leadership.

AI-powered workflows measurably reduce manual effort without degrading the quality of what they touch. Automation that saves time at the cost of accuracy or judgment isn't a win.

Work is visible in public channels without prompting. Stakeholders always know what's in motion.

Documentation and playbooks are maintained and usable under pressure.

The program can operate independently during PTO and through role transitions; you've built systems that don't depend on any individual to keep running. Work is documented, config is explained, and runbooks cover the program itself, not just incidents.

Work Conditions

Zapier is seeking an Incident Operations Specialist to manage the execution of systems, workflows, and tooling for incident response. The role involves maintaining tools like incident.io and PagerDuty, building AI-powered automation, and utilizing SQL, Databricks, and Grafana for operational reporting.

$119K – $178.5K • Offers Equity • Offers Bonus • Multiple Ranges

$119K – $178.5K • Offers Equity • Offers Bonus

CA$108.2K – CA$162.3K • Offers Equity • Offers Bonus

Canada 

Incident Operations Specialist

Americas - North, Central and South America

Zapier's mission is to make automation work for everyone. That mission is funded by revenue — and every dollar of it flows through Revenue Zone. We build and operate the infrastructure behind billing, subscriptions, payments, pricing, entitlements, and checkout across everything Zapier ships: self-serve plans, enterprise contracts, and ecosystem offerings. When a customer upgrades, renews, changes plans, or pays an invoice, our systems make it happen — correctly, instantly, and at scale.

 to own the technical vision and long-term architecture for Revenue Zone. You'll define the pricing primitives, service boundaries, and data models that let Zapier ship pricing and packaging changes in days instead of months — while keeping every dollar accounted for accurately. That means designing the framework and abstractions product teams plug into so they can launch new SKUs without becoming billing experts, building configuration-driven infrastructure for pricing experimentation, and ensuring the platform evolves without foundational rewrites.

This is production-critical, finance-grade infrastructure where correctness is non-negotiable. You'll drive alignment across teams in a space defined by high ambiguity and competing constraints, working closely with Product, Engineering, Finance, and Sales. The role is particularly exciting because decisions here ripple across Zapier — shaping how the company monetizes its next phase of growth.

You've driven outcomes in complex, production systems at scale — shipping projects that delivered measurable improvements in environments where requirements shifted under you. You separate essential from accidental complexity, make tradeoffs explicit, and use data to inform decisions without becoming paralyzed by it. Many strong candidates have 8+ years of experience, but we hire for impact and capability, not tenure.

Billing/payments/monetization domain experience:

 You bring strong domain knowledge in billing systems, subscription management, payment processing, or financial platforms. You understand metered billing, pricing models, entitlements, revenue recognition, and the operational complexity of supporting enterprise customers. You know that billing isn't just a backend problem — it touches sales, finance, support, and product, and you've navigated that reality.

API, platform, and performance expertise:

 You've designed and built APIs that serve multiple consumers — internal teams, external partners, and user-facing products — and you know how to evolve systems without breaking existing integrations. You have a track record of identifying and resolving performance bottlenecks through profiling, caching, database optimization, and delivering measurable improvements that impact user experience and conversion.

 You care deeply about the problems our customers are trying to solve and define success by the results they achieve — not the elegance of the technical solution. You fall in love with the problem, not your first implementation, and are willing to rethink or pivot when it better serves the customer and the business.

Cross-team leadership and proactive ownership: 

You've led technical initiatives that span multiple teams and operate with end-to-end ownership. You gather requirements, surface risks early, align stakeholders, and drive ambiguous problems through to measurable outcomes. You're a trusted partner to Engineering, Product, and Design leadership — helping shape roadmaps, translating business strategy into technical direction, and amplifying other engineers by raising standards and building durable foundations that create leverage across teams.

 You use AI coding tools as a regular part of your workflow and have a point of view on where they accelerate delivery and where human judgment is non-negotiable. In a high-correctness domain like payments and billing, you know the difference between automating boilerplate and trusting AI with revenue logic — and you bring that judgment to the engineers you work with.

 You're at home in large, mature codebases — you know how to navigate a monolith, find the right leverage points, and make meaningful progress without waiting for a clean slate.

Serve as a technical leader within the Revenue Zone:

 You’ll operate as part of the zone’s leadership team, partnering closely with Engineering, Product, and Design to shape strategy and roadmap decisions. You’ll translate business context into technical direction—and ensure engineering tradeoffs are clearly understood at the business level.

 You’ll define and evolve the architectural direction of the Revenue Zone, balancing near-term delivery with long-term durability, extensibility, and operational excellence.

 You’ll drive the strategic evolution of our monetization platform—decoupling billing from account systems, clarifying system boundaries, and consolidating pricing infrastructure. You’ll build flexible, configurable foundations that enable fast Pricing and Packaging experimentation and seamless launch moments across the customer lifecycle, while supporting clean, reliable data for Finance and Pricing & Packaging.

Own and strengthen revenue-critical systems:

 You’ll be responsible for systems across the Revenue Zone—Billing, Pricing, Payments, Checkout, and Entitlements—ensuring they are resilient, observable, and correct. You’ll raise the bar on proactive detection, safe rollback mechanisms, and revenue accuracy—catching issues before customers do. You’ll systematically reduce structural and technical debt, eliminate recurring operational pain points, and strengthen architectural foundations to prevent revenue-impacting incidents before they emerge.

 You’ll influence API design, data modeling, caching strategies, and system architecture—optimizing for scalability, developer experience, and rapid pricing and packaging iteration.

 You’ll collaborate closely with Pricing & Packaging, Product, and Design teams to drive ARR growth and craft seamless, intuitive, and lovable monetization journeys for self-serve, enterprise, and ecosystem customers. You’ll also work with Support and Operations to ensure robust admin tooling and exceptional customer experiences across upgrades, billing changes, and subscription management.

 You’ll identify performance bottlenecks and deliver optimizations that show up in the metrics—reduced latency, improved reliability, stronger customer experiences, and improved conversion and retention.

Mentor engineers and raise the technical bar:

 You’ll share patterns and tooling, conduct thoughtful code reviews, and grow engineering capability across the zone. You’ll be a go-to resource for engineers tackling complex monetization and platform challenges.

Champion documentation and developer experience:

 You’ll ensure our systems are well-documented and easy to adopt, reducing friction and accelerating development across the organization.

Zapier is hiring a Staff Backend Engineer for the Revenue Zone to own the technical vision and architecture for billing, payments, and monetization infrastructure. The role focuses on designing scalable APIs and data models to enable rapid pricing changes while ensuring financial correctness. Primary responsibilities include leading high-impact initiatives across payment processing and revenue recognition.

$210.7K – $316.1K • Offers Equity • Offers Bonus • Multiple Ranges

Base Salary $210,700 – $316,100 • Offers Equity • Offers Bonus

Base Salary CA$210,700 – CA$316,100 • Offers Equity • Offers Bonus

Base Salary £132,500 – £198,700 • Offers Equity • Offers Bonus

United Kingdom

Base Salary €135,800 – €203,800 • Offers Equity • Offers Bonus

Ireland

Spain

Base Salary ₹77,56,200 – ₹1,16,34,400 • Offers Equity • Offers Bonus

India

Base Salary A$208,600 – A$313,000 • Offers Equity • Offers Bonus

Australia

Base Salary NZ$208,600 – NZ$313,000 • Offers Equity • Offers Bonus

New Zealand

Staff Engineer, Backend, Revenue

Staff Engineer, Backend - Revenue

Take our 10 minute AI Fluency Assessment by clicking the link above. See how your skills stack up against our sales bar, get a personalized tier, and walk away with actionable next steps to level up your AI skills.

We’re looking for a new Sales-Assist Representative to join the Sales-Assist Motion at Zapier.

Zapier’s on a mission to make everyone more productive at work. We are in search of individuals who are not just looking for a job, but are committed to building a rewarding career in sales. Ideal candidates will possess a genuine passion for sales, a desire to continually learn and improve, and the drive to achieve excellence within the industry. 

Zapier has helped millions of people build businesses through the power of automation. The Sales Assist group serves customers as they evaluate and buy Zapier’s offers, through a high-velocity sales motion. We help customers primarily through live chat conversations through Zendesk, and some inbound demos over Zoom. We inspire deep automation use-cases pertaining to their role, and address any questions through their procurement and buying process. Ultimately, success here looks like removing friction from the purchase and adoption process through qualifying or converting leads.

If you want to advance your career at a fast-growing, profitable, impact-driven company, read on…

You are located in India and able to work within the hours of ~9:00 pm - 7:00 am IST. 

4+ years of experience, with a track record as a solutions engineer, technical account manager moving to sales, or a very technical quota-carrying salesperson with experience in a SaaS environment, especially across technical product-led companies with both self-serve and sales GTM) with exposure to international markets.

Able to work a high velocity sales queue for prolonged periods of time in your day (Live Chat)

You're naturally curious about AI and regularly experiment with different AI tools to drive efficiency in your day-to-day work or personal life.

You’re experimental and have the ability to test our ideas rapidly and contribute to multiple sales projects.

You’re comfortable getting into the technicalities of our product, API offerings and curious about building solutions with these tools.

Self-managing and a high degree of agency to manage your calendar, pipeline and hit quotas

Effective cross-cultural communicator — able to communicate clearly with both customers and a distributed international team. Advanced working English comprehension. 

You use AI in your work today — not occasionally, but as part of how you operate at a high level. You can point to workflows you’ve built, how your approach has evolved through iteration, and the impact on quality, efficiency, and experience — while intentionally applying AI for the right outcomes, setting a high bar for outputs, and taking ownership of what ships.

As a Sales-Assist Representative, you will have 3 main responsibilities:

Showcase Zapier as a potential solution for teams and businesses through multiple mediums - 

On a daily basis, most of your time will be on live chat (4+ hours) with customers through Zendesk. With the rest split between calls and emails. You’ll lead demos virtually to model a wide range of use-cases in which Zapier can help drive ROI for our customers. You’ll educate the user on use-cases to help inspire more ways they can automate within their business. You’ll lead them from interest, to learning more about our product to purchase. Success here is measured by our ability to qualify leads for other teams and convert customers yourself.

Create a Sales Pipeline for multiple motions- 

through live chat queues and product qualified lead (PQL) emails, you’ll drive an influenced revenue metric with qualified leads to be handed to other teams and members.

Maintain feedback loops back into the rest of the organization - 

Identifying learnings from your customer demos and passing them along as a feedback loop is critical in this role. This looks like tagging your call recordings with product feedback opportunities, or identifying areas where improved collateral may have accelerated the sales-process. To do so, you’ll need to be excellent at written communication.

You’ll work closely with numerous senior stakeholders and will be a part of several cross-functional steering committees as well.

At Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.

Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.

After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!

Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our 

 provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.

Zapier prioritizes the security of our customers' information and is dedicated to adhering to all applicable data privacy laws. You can 

Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact 

Background Check Required

Language Proficiency

Zapier is seeking a Sales Assist Representative based in India to join their high-velocity sales motion. This remote role involves managing live chat conversations via Zendesk, conducting virtual demos on Zoom, and qualifying leads to drive revenue. The ideal candidate is AI-fluent and experienced in SaaS environments, helping customers navigate the procurement process and discover automation use-cases.

₹35,75,300 – ₹49,96,800 • Offers Equity • Offers Commission

OTE ₹35,75,300 – ₹49,96,800 • Offers Equity • Offers Commission

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