--- title: 'Senior Integration Engineer at Agiloft' canonical: 'https://feeny.ai/job/senior-integration-engineer-agiloft-canada-tq3p3vkn6fb9' type: 'job' last_seen: '2026-09-25' --- # Senior Integration Engineer at Agiloft - **Company:** Agiloft - **Location:** Canada - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-18 - **Last confirmed live:** 2026-09-25 - **Apply:** https://jobs.lever.co/agiloft/23bffac9-0336-4f42-86c0-889cdb3a1614 ## Job description As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle. Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations. We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day. Position Overview We are hiring a Senior Integration Engineer to build and productize integrations between Agiloft and strategic ISV partners. This is a hands-on engineering role with regular partner interaction. You will spend most of your time designing, building, testing, and operating integrations in Workato and through modern APIs. You will also help Alliances, Product and Engineering, and Solution Consulting make sound technical commitments. The right candidate combines depth in integration engineering with the judgment to work through ambiguity, communicate directly with partner engineers, and create solutions that can be reused across customers. You will be expected to work in an AI-native way, using AI coding and agent tools throughout the development lifecycle while independently validating security, correctness, and maintainability. Job Responsibilities - Turn partner use cases into bounded, productized integration designs with clear data flows, authentication and authorization models, failure handling, versioning, ownership, and support plans. - Build, test, deploy, and maintain Workato recipes, custom connectors, API-based components, data mappings, and reusable integration templates. - Own engineering quality through launch, including automated tests, data validation, secure credential handling, observability, alerting, deployment practices, and runbooks. - Work directly with partner engineering teams to resolve questions about APIs, schemas, authentication, rate limits, version changes, and operational responsibilities. - Collaborate with Product and Engineering to identify gaps in Agiloft APIs and platform capabilities, then translate recurring partner needs into clear product requirements. - Support selected sales opportunities by scoping requirements, validating feasibility, and building targeted demos or proofs of concept, with a focus on reusable partner capabilities rather than one-off implementations. - Use AI coding and agent tools to accelerate API discovery, solution design, data mapping, custom logic, test creation, troubleshooting, and documentation. Review and validate all AI-assisted output before it is used in production. - Evaluate MCP and other agent-to-system integration patterns when they fit the use case, with appropriate identity, access control, auditability, and operational safeguards. - Provide escalation support for the integrations you own and create the documentation and runbooks that enable support teams to handle routine operations. What Success Looks Like - Priority partner integrations move from discovery to supported production releases with clear scope, ownership, and technical documentation. - Reusable connectors and patterns reduce duplicate engineering work and shorten delivery time for future integrations. - Production integrations are secure, observable, and maintainable, with predictable failure handling and effective operational handoffs. - Alliances, Product, and Solution Consulting receive timely, technically sound guidance on partner opportunities and constraints. - AI-assisted methods shorten discovery, build, test, and troubleshooting cycles without lowering quality or increasing support burden. Required Qualifications No candidate will have used every product or protocol named in this description. We care most about depth in integration engineering, partner-facing judgment, and the ability to learn unfamiliar systems quickly. - Five or more years of experience designing, building, and operating production integrations across enterprise systems. - Strong hands-on experience with Workato or a comparable enterprise iPaaS, including building, deploying, monitoring, and supporting production workflows. Candidates with MuleSoft, Boomi, Tray.ai, Celigo, or similar experience will be considered if they can become productive in Workato quickly. - Deep practical experience with REST APIs, webhooks, JSON, pagination, rate limits, API versioning, error handling, and identity and access patterns such as OAuth 2.0, OIDC, signed JWTs, and API keys. - Production experience integrating at least one enterprise platform such as Salesforce, SAP, Coupa,NetSuite, Workday, DocuSign, or a comparable CRM, ERP, procurement, or e-signature system. - Ability to write and review custom integration logic in at least one language such as Python, JavaScript, TypeScript, Ruby, or Java. - Experience across the integration lifecycle, from requirements and technical design through automated testing, deployment, monitoring, incident response, and change management. - Strong partner or customer-facing communication skills, including the ability to explain tradeoffs, set technical boundaries, and turn business needs into implementable designs. - Demonstrated expert-level use of AI coding and agent tools in day-to-day engineering. You can explain specific workflows that improve speed and quality, how you verify AI-generated output, and how you protect confidential data and credentials. - Other duties as assigned ## Preferred Experience - Deep Workato experience with custom connectors, environment management, deployment practices, monitoring, and platform governance. - Experience building productized partner or embedded integrations that are reused across multiple customers. - Experience in CLM, legal technology, source-to-pay, procurement, or adjacent enterprise application ecosystems. - Experience with event-driven or pub-sub integration patterns and cloud-native or serverless services. - Experience building or governing MCP servers, MCP clients, or other agent tool integrations with identity-aware access and audit controls. Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at brad.toothman@agiloft.com. Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply. Applications will be reviewed as submitted. There will be no application deadline for this opportunity. ## About Agiloft ## Company Overview - **One-liner**: Agiloft provides a data-first Contract Lifecycle Management (CLM) and AI platform that helps enterprises automate, govern, and extract value from their contracts. - **Entity Type**: Private (Strategic investment from KKR, prior growth equity from FTV Capital) - **Headquarters**: Redwood City, California, United States - **Founded**: 1991 - **Founders**: Colin Earl ## Core Business - **Primary industry**: Contract Lifecycle Management (CLM) Software / Legal Technology - **Target customers**: Enterprise legal, procurement, and sales operations teams (B2B, Enterprise) - **Mission statement**: "To transform contracts from static agreements into powerful drivers of growth." ## Products & Services - **Agiloft CLM Platform**: The core enterprise-grade Contract Lifecycle Management solution that centralizes, automates, and governs every stage of the contract process—from request and negotiation to execution and value recognition. It features a flexible, no-code architecture that allows any approved team member to configure workflows, approval chains, and processes without writing code. - **Astra**: A contracts AI platform designed to help legal and procurement teams uncover answers, apply their standards, and make every contract improve the next. AI is embedded throughout the platform for extraction, risk analysis, and contract interrogation, with configurable agents that review, negotiate, and onboard contracts automatically. - **Data-First Agreement Platform (DAP)**: Extracts actionable intelligence from every agreement to drive smarter decisions on revenue, risk, and operations across the organization. - **Integrations**: Works with Salesforce, SAP, Oracle, and over 1,000 other pre-built connectors to sync data between Finance, Sales, Legal, and IT systems. ## Market Standing - **Valuation**: Not disclosed - **Key Metric**: Annual revenue of $36M (as per LinkedIn data); Total funding of $45M across prior rounds. - **Notable Investors/Partners**: KKR (strategic investment in 2024), FTV Capital (growth equity investment). Key leadership includes CEO Eric Laughlin, CTO John Pechacek, CPO Andy Wishart, CRO Kevin Niblock, and CLO Jason Barnwell. - **Growth Signals**: Headcount of 313 employees (+17.5% YoY, +60 people); First acquisition completed in 2025 (Screens.AI); Launch of the Astra AI platform in 2025; 100+ product reviews averaging 4.7/5.0; Employer rating of 4.1/5.0 from 142 reviews. ## Competitive Advantages - **Data-first CLM approach**: Differentiates from competitors by not just storing contracts but extracting actionable intelligence to drive business decisions. - **Embedded AI (Astra)**: AI is not a bolt-on feature but is baked into the core platform for extraction, risk analysis, and automated negotiation, with auditable outputs and traceable decisions. - **No-code configurability**: The platform's flexible architecture allows rapid deployment and customization without IT support, lowering time-to-value. - **Deep enterprise integrations**: Over 1,000 pre-built connectors (with Salesforce, SAP, Oracle) ensure seamless workflow across an organization's existing tech stack. - **Strong partner backing**: Strategic investment from KKR signals confidence in the company's long-term growth trajectory. ## Strategic Focus - **AI-first expansion**: The launch of Astra and the acquisition of Screens.AI point to a strong push toward embedding advanced AI agents throughout the contract lifecycle. - **Continued M&A**: The first acquisition (Screens.AI) suggests a strategy of acquiring niche technologies to accelerate product capabilities. - **Scaling the customer base**: With a growing headcount and a focus on enterprise accounts (visible in current job postings), the company is aggressively expanding its market presence. - **Product-led growth**: The emphasis on a "data-first agreement platform" and configurable, no-code solutions positions them to win deals against legacy CLM providers. ## Why Work Here - **People-first culture**: The company explicitly states a people-first culture with a focus on diversity, equity, and inclusion, supported by dedicated Employee Resource Groups (ERGs). - **Fully remote and globally distributed**: Agiloft is a fully remote company with employees across 14 countries, including the United States, India, Canada, the United Kingdom, and Russia. - **Learning & development**: Employees receive a quarterly development budget, unlimited access to Udemy, and 24 hours of dedicated growth time per year. - **Comprehensive benefits**: Medical, dental, and vision coverage for employees and family; paid parental leave; 401(k) with company match; remote work stipend (internet reimbursements); annual company offsite. - **Strong employer rating**: 4.1/5.0 on LinkedIn (Work-Life: 4.2, Compensation: 4.1, Culture: 4.2, Career: 4.0), indicating a healthy work environment. - **Innovation at scale**: Working on a platform that processes millions of contracts, with the opportunity to shape how AI is applied in a critical enterprise domain. ## Sources 1. [Agiloft Official Site](https://www.agiloft.com/) 2. [Agiloft About Us](https://www.agiloft.com/about-us) 3. [Agiloft Careers Page](https://www.agiloft.com/careers) 4. [Agiloft Lever Job Board](https://jobs.lever.co/agiloft) 5. 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