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From Home Workato Developer Jobs (NOW HIRING)

Workato

Chief Strategic Architect

New York, NY · Hybrid

... Workato's architecture differentiates us from competitors like MuleSoft and Boomi * Influence ... Educate and enable Sales Engineers, Account Executives, and Customer Success teams on complex ...

Envestnet

Data Integration Director

Concord, NC · Remote

Build and manage the integration engineering team (Workato engineers, integration engineers, data ... Excellent stakeholder management -- ability to prioritize competing demands from multiple business ...

Envestnet

Data Integration Director

Concord, NC · Remote

Build and manage the integration engineering team (Workato engineers, integration engineers, data ... Excellent stakeholder management -- ability to prioritize competing demands from multiple business ...

Workato

Chief Strategic Architect

Boston, MA · On-site

... Workato's architecture differentiates us from competitors like MuleSoft and Boomi * Influence ... Educate and enable Sales Engineers, Account Executives, and Customer Success teams on complex ...

Workato

Staff Product Manager (Evals)

Palo Alto, CA · Remote

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Work with ML engineers and platform teams to ground the framework in technical reality while ...

Workato

Staff Product Manager (Evals)

Palo Alto, CA · On-site

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Work with ML engineers and platform teams to ground the framework in technical reality while ...

Workato

Senior UX Designer

New York, NY · On-site

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... You'll partner with product managers, engineers, researchers, and other designers to define the ...

Workato

Senior UX Designer

Palo Alto, CA · Remote

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... You'll partner with product managers, engineers, researchers, and other designers to define the ...

Workato

Chief Strategic Architect

Boston, NY · Hybrid

... Workato's architecture differentiates us from competitors like MuleSoft and Boomi * Influence ... Educate and enable Sales Engineers, Account Executives, and Customer Success teams on complex ...

Workato

Product Design Manager

Austin, TX · Remote

$187.30K/yr

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... You'll work closely with product, engineering, and executive stakeholders to define not just how ...

Workato

Product Design Manager

Palo Alto, CA · Remote

$222.20K/yr

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... You'll work closely with product, engineering, and executive stakeholders to define not just how ...

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How much do from home workato developer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for from home workato developer in the United States is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $54.81 per hour, depending on experience, location, and employer.

What is the difference between From Home Workato Developer vs From Home Zapier Developer?

AspectFrom Home Workato DeveloperFrom Home Zapier Developer
CredentialsKnowledge of Workato platform, basic scripting, API integrationFamiliarity with Zapier, API basics, automation workflows
Work EnvironmentRemote, project-based, automation and integration tasksRemote, automation setup, workflow creation
Industry UsageBusiness process automation, enterprise integrationsSmall business automation, marketing, and productivity workflows

Both roles involve creating automation workflows remotely, but Workato Developers typically work on complex enterprise integrations using the Workato platform, while Zapier Developers focus on simpler, user-friendly automations for small to medium businesses. The choice depends on the complexity of automation needs and platform familiarity.

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From Home Workato Developer jobs near you
Infographic showing various From Home Workato Developer job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Physical job distribution, with an average salary of $94,200 per year, or $45.3 per hour.
Senior Engineering Manager (Search and Retrieval)

Senior Engineering Manager (Search and Retrieval)

Workato

Palo Alto, CA • On-site

Full-time

Posted 4 days ago

Job description

About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
  • Business Insider named us an "enterprise startup to bet your career on"
  • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
  • Quartz ranked us the #1 best company for remote workers

Responsibilities
As Senior Engineering Manager for Enterprise Retrieval, you'll lead the team building the retrieval layer that grounds Workato's enterprise AI agents. Your team is a deliberate mix of disciplines - Software Engineers who own the systems side (multi-source connectors, ingestion and freshness pipelines, permission-aware indexing, hybrid retrieval at scale) and AI Engineers who own the applied AI side (embeddings, RAG quality, re-rankers, LLM-driven query understanding, eval rigor). Your job is to make those two crafts compound into a single, world-class team.
You'll own the team's charter, roadmap, and outcomes - partnering with Product, the Agent Platform team, Security, and leadership to figure out what to build, then building a team that ships it. You'll spend your time on people, technical direction, and execution - in roughly that order - and you'll keep just enough hands on the architecture to be a credible technical partner to your engineers.
This is a senior management role for someone who has led mixed AI/systems teams before, knows what good looks like in both crafts, and wants to put that experience to work on one of the most consequential infrastructure problems in enterprise AI today.
In this role, you will also be responsible to:
  • Lead, grow, and develop the Enterprise Retrieval team - hiring, coaching, performance, career growth, and team culture across a mixed group of Software and AI Engineers (target team size 8-12).
  • Set the technical direction for the retrieval layer in partnership with senior ICs - balancing classical IR, vector search, RAG, agent grounding, and the operational realities of enterprise content.
  • Own the roadmap and the outcomes - translate company strategy into quarterly objectives, scope crisply, prioritize ruthlessly, and ship measurable wins on retrieval quality, latency, freshness, and cost.
  • Partner across the org with Product, the Agent Platform team, Security, Connectors, and Infra - your team's output is upstream of almost every AI agent at Workato.
  • Build a culture of evaluation where retrieval quality, faithfulness, citation accuracy, and end-to-end agent success are measured rigorously and improved deliberately.
  • Raise the bar on craft - code review standards, design review rituals, on-call discipline, observability, and a healthy "evals before opinions" instinct.
  • Coach senior ICs on technical leadership - helping Staff-track engineers grow into broader scope and Senior engineers grow into Staff.
  • Recruit relentlessly - attract, assess, and close strong Software and AI Engineers in a competitive market; build a deep, diverse pipeline.
  • Communicate clearly upward and outward - make the team's strategy, progress, risks, and decisions legible to engineering leadership and execs.
Requirements
Qualifications / Experience / Technical Skills
  • Leadership Experience
    • 5+ years of engineering management experience, including 2+ years managing managers or running teams of 8+ engineers.
    • Demonstrated track record of shipping non-trivial systems to production - ideally in search/retrieval, applied ML/AI, data platforms, or developer infrastructure.
    • Experience leading mixed teams of software engineers and applied AI / ML engineers, and getting the two disciplines to compound rather than collide.
    • Strong hiring track record - you've built teams from scratch or grown them substantially, and you know how to assess both systems and AI engineering talent.
    • Comfort operating with ambiguity, shaping strategy, and partnering with Product on what to build (not just how).
  • Technical Background
    • Hands-on engineering background earlier in your career; you can read code, lead a design review, and push back on architecture decisions credibly.
    • Working understanding of modern retrieval and applied AI: hybrid search (BM25 + dense vectors), embeddings, RAG, re-rankers, LLM evaluation, and agent grounding. You don't need to be the deepest expert - but you need to know what good looks like and what trade-offs to push on.
    • Familiarity with the surrounding stack: distributed systems, search engines (OpenSearch / Elasticsearch / Solr / Vespa), vector stores, cloud platforms (AWS, GCP, or Azure), CI/CD, and observability.
    • Intuition for enterprise data realities - heterogeneous content, ACL/permission models, freshness constraints, and the governance bar that enterprise security teams expect.
Soft Skills / Personal Characteristics
  • People-first: you genuinely care about the engineers you manage - their growth, their craft, and their experience on the team.
  • Outcome-oriented: you optimize for shipped impact, not activity - and hold the team to measurable wins.
  • Empirical: you reach for evals, data, and clear metrics before opinions; you model that behavior for the team.
  • Direct and kind: you give clear feedback early, address performance issues with care, and build trust by being predictable.
  • Strong communicator who can move fluently between an IC technical conversation, a product trade-off discussion, and an exec update.
  • Calm under ambiguity - comfortable making decisions with incomplete information and adjusting as you learn.
Nice to Have
  • Experience leading a search, retrieval, knowledge platform, or RAG team in a previous role.
  • Experience managing in an enterprise SaaS, integration, or AI infrastructure context.
  • Background in applied ML/AI yourself (researcher, ML engineer, or applied scientist before moving into management).
  • Experience with agentic AI patterns - tool use, function calling, MCP, multi-step retrieval planning.
  • History of public technical communication - talks, posts, papers - on retrieval, applied AI, or engineering leadership.

(REQ ID: 2777)

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