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.

Zapier is hiring an Enterprise Demand Gen Manager to own pipeline generation for our Enterprise segment. You'll build and run multi-channel campaigns that drive monthly pipeline across enterprise companies with complex buying committees.

This role sits at the intersection of product data, sales partnership, and campaign craft. You decide which accounts to target, what great outreach looks like, and how to turn product engagement signals into pipeline. You'll partner directly with Enterprise AEs on account strategy, run experiments weekly, and own full-funnel campaign performance from first touch through closed-won.

You care about the craft of enterprise marketing and the people on the other side of it. You love the moment when account intel, timing, and creativity line up and a campaign actually moves a deal.

You have 5 or more years of B2B marketing experience with a strong focus on enterprise demand gen and outbound, and a track record of hitting pipeline targets

You have a background in in SaaS or automation/integration platforms with experience marketing to enterprise IT, Sales Operations, or RevOps personas

You've run integrated, complex campaigns across digital, events, and partner channels, and you know how to measure impact

You read signals -- product usage, intent, firmographic -- as buyer context, not just filters, and you know how to translate them into timely, relevant outreach.

You run structured experiments -- three or more per week -- and treat misses as data, not failures. You form a hypothesis, test it, and iterate fast

You have built campaigns that Sales actually adopts: sequences, messaging frameworks, and playbooks that scale beyond any individual campaign

You've built and deployed AI-powered workflows that connect tools, automate multi-step processes, and produce measurable impact on your work

You are comfortable with and you've built campaigns for segments without established playbooks

You have hands-on experience with modern outbound engagement platforms (Hubspot, Gong Engage) ABM platforms (Demandbase, 6sense) and enrichment tools (Clay, ZoomInfo, Apollo).

Define and execute signal-led outbound strategy for enterprise accounts: choosing which accounts earn outreach, when, and through which channels.

Build and run multi-channel campaigns across outbound, events, webinars, and digital that drive enterprise pipeline from first touch through closed-won.

Write and refine enterprise outbound messaging aligned to Zapier's AI and automation use cases, across buying committee personas.

Design account-based plays for high-value targets: multi-threading across buying committees, persona-specific outreach, and deal acceleration.

Partner directly with Sales to align campaigns with active deal motion and enable the team with sequences, messaging frameworks, and activation guidance.

Run three or more experiments per week across messaging, channels, offers, and timing, and share learnings that compound across the team.

Design and ship AI-driven workflows that orchestrate tools like agents, LLMs, and enrichment platforms into repeatable systems that elevate outbound quality across campaigns

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 

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

SaaS

Zapier is hiring an Enterprise Demand Generation Manager to own pipeline generation for its enterprise segment. The role involves building multi-channel campaigns, partnering with Enterprise AEs, and leveraging AI-powered workflows and tools like HubSpot, Gong, and Clay to target high-value accounts.

$144K – $215K • Offers Equity • Offers Bonus • Multiple Ranges

US $144K – $215K • Offers Equity • Offers Bonus

CAD CA$144K – CA$215K • Offers Equity • Offers Bonus

Demand Generation Manager

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.

AI Proficiency

On-call rotation

Communication

Independent Work

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

United States

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

Canada 

Incident Operations Specialist

Zapier is becoming the governed action, context, and execution layer for agents: the platform enterprises trust to let AI act on their real systems, safely. The Enterprise engineering organization builds the foundation that promise depends on - identity, access, audit, and administrative control that hold up whether the actor taking action is a human clicking through a Zap, code running on a schedule, or an AI agent operating on its own.

We're looking for a Director of Engineering to lead Zapier's Enterprise engineering organization into its next phase of growth. As agent adoption accelerates and the bar for enterprise trust keeps rising, this org's work is becoming more central to Zapier's strategy, and you'll have real latitude to shape what world-class identity, audit, and governance infrastructure looks like at Zapier's next scale.

You'll partner closely with a group of engineers, product managers, designers, peer leaders across the org, and with go-to-market teams who depend on your organization to close and support Zapier's largest customers. You’ll have real influence shaping the operating mechanics of your org.

We're looking for someone energized by exactly this kind of work: someone who wants to build the definitive playbook for how Zapier governs AI acting on behalf of its customers, at the moment that work matters most.

We know applying for and taking on a new job at any company requires a leap of faith. We want you to feel comfortable and excited to apply at Zapier. To help share a bit more about life at Zapier, here are a few resources in addition to the job description that can give you an inside look at what life is like at Zapier. Hopefully, you'll take the leap of faith and apply.

Even though our job description may seem like we're looking for a specific candidate, the role inevitably ends up tailored to whoever applies and joins. Regardless of how well you feel you fit our description, we encourage you to apply if you meet these criteria:

You think in terms of governance, not just features.

 You understand that identity, access control, audit, and policy aren't compliance checkboxes - they're the trust infrastructure that determines whether enterprises can safely let AI act on their systems. You've built or led systems where getting this wrong has real consequences, and you bring that judgment to every product and architecture decision.

You raise the bar on reliability as you scale.

 You've built strong service ownership models, clear on-call practices, and durable quality bars in fast-growing engineering organizations. You treat reliability and operational excellence as a competitive advantage rather than an afterthought, and you know how to instill that discipline in a team that's scaling quickly.

You set technical direction - you don't just execute someone else's.

 You partner deeply with Product and Design as peers and shape strategy together, but you bring a strong, independent engineering point of view to that partnership. You're comfortable being the person who pushes back on a roadmap when the technical or operational reality demands it.

You've scaled engineering organizations through structural change.

 You've led teams of managers and technical leads through real organizational transitions, not just steady-state growth - shifting operating models, redefining ownership, or integrating new ways of working. You know how to bring a team through ambiguity without losing their trust or their output.

You are deeply customer- and stakeholder-oriented.

 You've worked directly with sales, customer success, and enterprise customers to understand what "enterprise-ready" actually means in practice, and you've made the tradeoffs between enterprise scale and delivery speed. You're a credible, responsive partner to go-to-market teams without letting reactive asks crowd out foundational work.

You've driven engineering quality and velocity with data.

 You've established data-driven approaches to measuring delivery, reliability, and quality, and used them to make real investment tradeoffs rather than to produce a dashboard. You have a point of view on balancing reactive/KTLO work against proactive investment, with mechanisms to keep that balance honest.

You are a skilled mentor, coach, and communicator.

 You have a track record of developing engineers and engineering leaders, and you communicate proactively and clearly, in writing by default, to align technical and non-technical stakeholders on vision, tradeoffs, and results.

You lead AI-native engineering, not just AI-native products.

 You've used AI coding agents and orchestration tools (Cursor, Claude Code, Codex, or similar), and you have a concrete point of view on how they change what "good" engineering practice looks like - code review, on-call ownership, and quality bars all need rethinking when a meaningful share of code is agent-authored. You embed accountability into AI-assisted workflows rather than lowering the bar for velocity, and you expect the same discipline from your teams.

 At Zapier, your work has a disproportionate impact on the business. You default to AI-first thinking in your own work and your team's, and you build systems and practices that compound impact over time rather than relying on heroics.

This organization spans identity and access management, audit and compliance infrastructure, admin and asset management tooling, AI/agent governance, and enterprise customer-facing engineering.

Define and drive the strategy and roadmap for Zapier's Enterprise Governance bet, in partnership with Product and Design leaders and connected explicitly to Zapier's company-wide agent strategy

Own the org’s technical point of view on identity, access, audit, and policy, and defend it in cross-functional and executive settings

Make the staffing and investment trade-off calls across initiatives that no single initiative or team can make for itself

Own the technical roadmap for the systems that let enterprises govern AI acting on their behalf: identity and permissions for agents, audit trails for actions, and policy controls that scale beyond human-only usage

Define what safe, accountable AI-native engineering practice looks like for your own teams - code review, on-call ownership, quality bars for agent-authored work

Identify and implement AI-powered tooling that accelerates your teams' own delivery velocity and quality

Be accountable for the reliability of Zapier's identity, audit, and admin infrastructure, including the Tier-1 services enterprise customers depend on most

Build bench strength and resilience across critical systems as the team and its scope continue to grow

Step in during major incidents, coordinating cross-functional resources and setting stakeholder expectations when severity demands senior leadership involvement

Partner directly with Sales, Customer Success, and enterprise customers to translate real deal and support needs into a defensible engineering roadmap

Take ownership by default on cross-org technical initiatives touching identity and governance - including new shared infrastructure being built with adjacent orgs - rather than waiting to be assigned

Build on and further develop the strong enterprise engineering organization

Ensure managers and ICs have clear growth paths and the feedback they need to improve; develop the next generation of engineering leaders

Own the output and outcomes of your teams and the systems they own

Senior Level

People Management

Zapier is seeking a Director of Engineering (Enterprise) to lead the development of identity, access, and governance infrastructure. You will shape the technical strategy for how AI agents act on enterprise systems, ensuring reliability and trust. This leadership role involves managing engineering teams and partnering with cross-functional stakeholders.

$280.3K – $420.5K • Offers Equity • Offers Bonus • Multiple Ranges

$280.3K – $420.5K • Offers Equity • Offers Bonus

CA$280.3K – CA$420.5K • Offers Equity • Offers Bonus

Canada

Director, Engineering (Enterprise)

We're looking for a Sr. Manager, Strategic Finance - Self Serve and New Products to play a pivotal role in shaping the future of Zapier's self-serve and new products businesses. This is a 

 with the unique opportunity to drive top-line forecasting, planning, and analysis for one of the most important parts of our business. 

You’ll report to the Head of Strategic Finance and partner closely with product, marketing, and finance leadership. You’ll own revenue models, build analytical infrastructure, and drive insights that give you exposure to the executive team. If you're looking for a high-impact role with broad exposure across the business, this is it.

You have 6-8+ years of experience in FP&A, strategic finance, or a related analytical role, ideally at a product-led or self-serve SaaS company.

You deeply understand the dynamics of a self-serve business: churn, contraction, expansion, net new revenue, and the full funnel from visitor to signup to paid conversion to upgrade.

You've operated effectively in environments where ownership is distributed. You know how to build relationships and drive alignment across product, marketing, engineering, and finance.

You're comfortable with ambiguity and energized by building something from scratch, new processes, new analyses, new ways of looking at the business.

You're a strong communicator who can translate complex analysis into clear recommendations for both finance leadership and cross-functional business partners.

You have good judgment and a bias toward surfacing issues and opportunities proactively, not waiting to be asked.

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.

Serve as the dedicated finance partner for Zapier's self-serve business, working across the Chief Product Officer, SVP of Marketing, and CFO to bring a unified financial perspective to a business that spans multiple functions.

Build and own the forecasting, reporting, and analytical infrastructure for self-serve, this is largely net-new work, so you'll be defining what good looks like.

Analyze the self-serve funnel end-to-end: from top-of-funnel acquisition through activation, conversion, expansion, and retention. Identify where the business is leaking value and where the biggest opportunities are.

Own self-serve unit economics and provide perspective on key levers, pricing, packaging, churn reduction, and growth investments.

Use tools to self-serve data and build analyses that drive decisions, rather than relying on pre-built reports.

Proactively surface trends, risks, and opportunities to senior leadership. Don't wait for someone to ask the question, be the person who sees the issue first.

Partner with product and engineering teams to understand how product changes impact financial outcomes, and bring a financial lens to product investment decisions.

Background Check Required

Zapier is seeking a Sr. Manager of Strategic Finance to lead forecasting, planning, and analysis for its self-serve and new products business. The role involves owning revenue models, analyzing unit economics, and optimizing the customer funnel. The ideal candidate will leverage AI tools to drive financial insights and partner with product and marketing leadership.

$191.6K – $287.3K • Offers Equity • Offers Bonus • Multiple Ranges

USA $191.6K – $287.3K • Offers Equity • Offers Bonus

Canada CA$191.6K – CA$287.3K • Offers Equity • Offers Bonus

Sr. Manager, Strategic Finance, Self Serve & New Products

Are you excited about building the platform that makes AI and machine learning development faster, safer, and more reliable across an entire company? We’re thrilled to invite you to join Zapier’s 

As a key member of this team, you’ll help build and evolve the shared infrastructure that powers AI and ML development across Zapier. The AI Platform team owns the common foundations that product and engineering teams rely on when building with machine learning and generative AI - including systems like our 

This is a highly leveraged role. Rather than building a single end-user feature, you’ll create the core systems, tooling, and standards that many teams use as their baseline for shipping intelligent products and internal AI-powered workflows. You’ll work at the intersection of platform engineering, applied AI, and developer experience to make it easier for teams across Zapier to build with LLMs and ML systems in a scalable, secure, and production-ready way.

: improving how models are accessed, monitored, evaluated, deployed, governed, and operated in production. You’ll help define the paved road for teams building with AI at Zapier.

If you’re passionate about large language models, machine learning systems, developer platforms, and building tools that help other engineers move faster, we’d love to meet you!

If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…

Even though our job description may seem like we're looking for a specific candidate, the role inevitably ends up tailored to the person who applies and joins. Regardless of how well you feel you fit our description, we encourage you to apply if you meet these criteria:

4+ years of experience in software engineering

, including experience building and operating production AI/ML systems. You bring solid engineering fundamentals, good communication skills, and a desire to build reliable systems that others can depend on.

, or adjacent platform/infrastructure work. You’re interested in the practical challenges of operating these systems, including reliability, performance, safety, and cost.

You have experience contributing to backend systems, developer tooling, internal platforms, or infrastructure that supports other engineers.

 You enjoy simplifying complex workflows and improving how teams build and ship software.

 of working through the full lifecycle of building, testing, deploying, and scaling ML/ LLM architectures.

You are thoughtful about engineering trade-offs

 and are developing a strong understanding of how to balance reliability, latency, cost, quality, and maintainability in production systems.

You enjoy working collaboratively and learning from others.

 You’re excited to partner with more senior engineers and cross-functional teams to build reusable platform capabilities that make AI and ML development easier across the company.

 are at the heart of how we work together and how we think about our customers. In our remote setting, they help develop trust and ensure we work and collaborate to democratize automation.

Contribute to shared AI Platform capabilities that support teams building with machine learning and generative AI across Zapier.

. Experience isn’t strictly required, but it is a big plus. Comfort with typed languages and modern backend practices is a must.

Help develop and maintain core services such as our 

, platform APIs, and reusable tooling that standardize how teams access and operate models in production.

Zapier is hiring an Applied AI Engineer to build and evolve the shared infrastructure powering AI and ML development across the company. The role focuses on LLM Ops and ML Ops, creating core systems like LLM proxy servers and observability tooling. Primary technologies include TypeScript and Python.

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