WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey is seeking an Integrations Engineer, Enterprise Systems to build and maintain the integrations that connect our core business systems. You will design, implement, test, and monitor workflows across systems such as Salesforce, CPQ, NetSuite, Workday, Marketo, Snowflake, and iPaaS platforms, with a focus on data quality, operational reliability, and business impact. You will partner closely with Finance Systems, GTM Systems, People Ops, RevOps, and IT stakeholders to translate business requirements into durable technical solutions. You should be comfortable working hands-on with APIs, scripts, data transformations, error handling, and integration monitoring while communicating clearly with both technical and non-technical partners. This is the third Integrations Engineer hire, and you will work closely with Sriharsha Gurram, the Lead Integrations Engineer, to develop the foundations and architecture of the integrations function.
This is a builder role for someone who enjoys making business-critical systems more reliable, scalable, and understandable. The ideal candidate has enough technical depth to debug integration failures and write scripts, enough systems judgment to avoid creating long-term tech debt, and enough stakeholder empathy to help teams make tradeoffs when speed, accuracy, and scalability compete.
WHAT YOU'LL DO
- Build and maintain integrations between core enterprise systems including Salesforce, CPQ, NetSuite, Workday, Marketo, Snowflake, and related business applications.
- Develop data pipelines, workflow automations, and reverse ETL-style syncs that help GTM, Finance, People Ops, and other teams operate from trusted data.
- Translate business requirements into integration designs, data mappings, and implementation plans that are scalable, observable, and maintainable.
- Troubleshoot data sync issues, schema mismatches, API failures, and workflow exceptions across multiple systems.
- Implement strong error handling, logging, alerting, validation, rollback, and documentation practices for business-critical workflows.
- Partner with Finance Systems and GTM Systems stakeholders on Lead-to-Cash, Quote-to-Cash, order management, billing, and reporting workflows.
- Partner with People Ops and IT stakeholders on employee lifecycle and identity-adjacent workflows where enterprise systems need accurate, automated data movement.
- Document integration designs, dependencies, runbooks, and operational procedures so the team can scale beyond heroics and single-owner knowledge.
- Support integration platform standards for API usage, data modeling, monitoring, and production readiness under the guidance of the Lead Integration Engineer or hiring manager.
WHAT YOU HAVE
- You have 3–5+ years of experience in integration engineering, software engineering, business systems engineering, or a related backend systems role.
- You have hands-on experience working within an iPaaS platform (e.g. Workato) to build or maintain integrations across enterprise SaaS systems, ideally including Salesforce, NetSuite, Workday, Ashby, Marketo, Snowflake, or comparable platforms.
- You understand modern API patterns and authentication concepts, including REST, SOAP, GraphQL, OAuth, SAML, SCIM, and related integration standards.
- You can write scripts in Python, JavaScript, or a similar language to handle transformations, validation, orchestration, or automation logic.
- You have strong troubleshooting instincts and can work systematically through logs, data mismatches, failed syncs, and edge cases.
- You know how to communicate tradeoffs to non-technical stakeholders and can push back when a requested solution would create fragility, governance issues, or unnecessary tech debt.
- You are comfortable operating in a fast-moving environment where requirements may be ambiguous, priorities may shift, and systems may still be maturing.
- You have a bias toward pragmatic execution, but you also care about building repeatable patterns, documentation, and operational safeguards.
BONUS POINTS
- Experience with reverse ETL concepts and data warehousing workflows is a plus.
- Familiarity with Lead-to-Cash, Quote-to-Cash, CPQ, order management, billing, revenue recognition, or ERP workflows is a plus.
- Experience in high-growth B2B SaaS, legal tech, enterprise AI, or other environments with complex cross-functional systems is a plus.
- Exposure to identity lifecycle, provisioning, or access-related integrations is useful but not required.
COMPENSATION
$133,500 - $200,300 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-RB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Listed by Harvey for a position based in the United States. Employers on this board attest they are hiring domestically.
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
Harvey is seeking an Integrations Engineer, Enterprise Systems to build and maintain the integrations that connect our core business systems. You will design, implement, test, and monitor workflows across systems such as Salesforce, CPQ, NetSuite, Workday, Marketo, Snowflake, and iPaaS platforms, with a focus on data quality, operational reliability, and business impact. You will partner closely with Finance Systems, GTM Systems, People Ops, RevOps, and IT stakeholders to translate business requirements into durable technical solutions. You should be comfortable working hands-on with APIs, scripts, data transformations, error handling, and integration monitoring while communicating clearly with both technical and non-technical partners. This is the third Integrations Engineer hire, and you will work closely with Sriharsha Gurram, the Lead Integrations Engineer, to develop the foundations and architecture of the integrations function.
This is a builder role for someone who enjoys making business-critical systems more reliable, scalable, and understandable. The ideal candidate has enough technical depth to debug integration failures and write scripts, enough systems judgment to avoid creating long-term tech debt, and enough stakeholder empathy to help teams make tradeoffs when speed, accuracy, and scalability compete.
What You'll Do
Build and maintain integrations between core enterprise systems including Salesforce, CPQ, NetSuite, Workday, Marketo, Snowflake, and related business applications.
Develop data pipelines, workflow automations, and reverse ETL-style syncs that help GTM, Finance, People Ops, and other teams operate from trusted data.
Translate business requirements into integration designs, data mappings, and implementation plans that are scalable, observable, and maintainable.
Troubleshoot data sync issues, schema mismatches, API failures, and workflow exceptions across multiple systems.
Implement strong error handling, logging, alerting, validation, rollback, and documentation practices for business-critical workflows.
Partner with Finance Systems and GTM Systems stakeholders on Lead-to-Cash, Quote-to-Cash, order management, billing, and reporting workflows.
Partner with People Ops and IT stakeholders on employee lifecycle and identity-adjacent workflows where enterprise systems need accurate, automated data movement.
Document integration designs, dependencies, runbooks, and operational procedures so the team can scale beyond heroics and single-owner knowledge.
Support integration platform standards for API usage, data modeling, monitoring, and production readiness under the guidance of the Lead Integration Engineer or hiring manager.
What You Have
You have 3–5+ years of experience in integration engineering, software engineering, business systems engineering, or a related backend systems role.
You have hands-on experience working within an iPaaS platform (e.g. Workato) to build or maintain integrations across enterprise SaaS systems, ideally including Salesforce, NetSuite, Workday, Ashby, Marketo, Snowflake, or comparable platforms.
You understand modern API patterns and authentication concepts, including REST, SOAP, GraphQL, OAuth, SAML, SCIM, and related integration standards.
You can write scripts in Python, JavaScript, or a similar language to handle transformations, validation, orchestration, or automation logic.
You have strong troubleshooting instincts and can work systematically through logs, data mismatches, failed syncs, and edge cases.
You know how to communicate tradeoffs to non-technical stakeholders and can push back when a requested solution would create fragility, governance issues, or unnecessary tech debt.
You are comfortable operating in a fast-moving environment where requirements may be ambiguous, priorities may shift, and systems may still be maturing.
You have a bias toward pragmatic execution, but you also care about building repeatable patterns, documentation, and operational safeguards.
Bonus Points
Experience with reverse ETL concepts and data warehousing workflows is a plus.
Familiarity with Lead-to-Cash, Quote-to-Cash, CPQ, order management, billing, revenue recognition, or ERP workflows is a plus.
Experience in high-growth B2B SaaS, legal tech, enterprise AI, or other environments with complex cross-functional systems is a plus.
Exposure to identity lifecycle, provisioning, or access-related integrations is useful but not required.
Compensation
$133,500 - $200,300 USD
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.
#LI-RB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Listed by Harvey for a position based in the United States. Employers on this board attest they are hiring domestically.
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey is seeking an Integrations Engineer, Enterprise Systems to build and maintain the integrations that connect our core business systems. You will design, implement, test, and monitor workflows across systems such as Salesforce, CPQ, NetSuite, Workday, Marketo, Snowflake, and iPaaS platforms, with a focus on data quality, operational reliability, and business impact. You will partner closely with Finance Systems, GTM Systems, People Ops, RevOps, and IT stakeholders to translate business requirements into durable technical solutions. You should be comfortable working hands-on with APIs, scripts, data transformations, error handling, and integration monitoring while communicating clearly with both technical and non-technical partners. This is the third Integrations Engineer hire, and you will work closely with Sriharsha Gurram, the Lead Integrations Engineer, to develop the foundations and architecture of the integrations function.
This is a builder role for someone who enjoys making business-critical systems more reliable, scalable, and understandable. The ideal candidate has enough technical depth to debug integration failures and write scripts, enough systems judgment to avoid creating long-term tech debt, and enough stakeholder empathy to help teams make tradeoffs when speed, accuracy, and scalability compete.
WHAT YOU'LL DO
- Build and maintain integrations between core enterprise systems including Salesforce, CPQ, NetSuite, Workday, Marketo, Snowflake, and related business applications.
- Develop data pipelines, workflow automations, and reverse ETL-style syncs that help GTM, Finance, People Ops, and other teams operate from trusted data.
- Translate business requirements into integration designs, data mappings, and implementation plans that are scalable, observable, and maintainable.
- Troubleshoot data sync issues, schema mismatches, API failures, and workflow exceptions across multiple systems.
- Implement strong error handling, logging, alerting, validation, rollback, and documentation practices for business-critical workflows.
- Partner with Finance Systems and GTM Systems stakeholders on Lead-to-Cash, Quote-to-Cash, order management, billing, and reporting workflows.
- Partner with People Ops and IT stakeholders on employee lifecycle and identity-adjacent workflows where enterprise systems need accurate, automated data movement.
- Document integration designs, dependencies, runbooks, and operational procedures so the team can scale beyond heroics and single-owner knowledge.
- Support integration platform standards for API usage, data modeling, monitoring, and production readiness under the guidance of the Lead Integration Engineer or hiring manager.
WHAT YOU HAVE
- You have 3–5+ years of experience in integration engineering, software engineering, business systems engineering, or a related backend systems role.
- You have hands-on experience working within an iPaaS platform (e.g. Workato) to build or maintain integrations across enterprise SaaS systems, ideally including Salesforce, NetSuite, Workday, Ashby, Marketo, Snowflake, or comparable platforms.
- You understand modern API patterns and authentication concepts, including REST, SOAP, GraphQL, OAuth, SAML, SCIM, and related integration standards.
- You can write scripts in Python, JavaScript, or a similar language to handle transformations, validation, orchestration, or automation logic.
- You have strong troubleshooting instincts and can work systematically through logs, data mismatches, failed syncs, and edge cases.
- You know how to communicate tradeoffs to non-technical stakeholders and can push back when a requested solution would create fragility, governance issues, or unnecessary tech debt.
- You are comfortable operating in a fast-moving environment where requirements may be ambiguous, priorities may shift, and systems may still be maturing.
- You have a bias toward pragmatic execution, but you also care about building repeatable patterns, documentation, and operational safeguards.
BONUS POINTS
- Experience with reverse ETL concepts and data warehousing workflows is a plus.
- Familiarity with Lead-to-Cash, Quote-to-Cash, CPQ, order management, billing, revenue recognition, or ERP workflows is a plus.
- Experience in high-growth B2B SaaS, legal tech, enterprise AI, or other environments with complex cross-functional systems is a plus.
- Exposure to identity lifecycle, provisioning, or access-related integrations is useful but not required.
COMPENSATION
$133,500 - $200,300 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-RB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Listed by Harvey for a position based in the United States. Employers on this board attest they are hiring domestically.
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
As Harvey continues to scale its customer offerings for strategic customers, we are hiring a Technical Account Manager to join our Customer Success organization. This role serves as a high-touch, technically fluent support resource for Harvey’s most strategic customers, providing rapid, expert handling of complex, time-critical, and sensitive issues.
The Technical Account Manager strengthens Harvey’s post-sale presence by partnering closely with Customer Success Managers and internal teams to deliver exceptional technical support, proactive incident management, and clear, credible customer communications. This role is ideal for someone who thrives in high-stakes environments, enjoys deep problem-solving, and takes pride in delivering a world-class customer experience.
This role follows a fixed Thursday to Monday OR Friday to Tuesday schedule, with weekend coverage included as part of the standard five-day workweek.
What You'll Do
Serve as a primary escalation point for Enterprise and Majors accounts, owning high-severity and technically complex support cases through resolution.
Triage, investigate, and resolve urgent customer issues with speed and sound judgment, coordinating across Support, Customer Success, Engineering, Product, and Security teams.
Maintain deep account context, including customer workflows, configurations, integrations, and sensitivities, and apply that context to troubleshooting and communications.
Provide real-time, hands-on technical support for senior customer stakeholders, including Knowledge Management, Innovation, and IT leaders.
Lead clear and proactive incident communications, translating technical updates into customer-specific impact, expectations, and next steps.
Participate in incident response workflows, including severity classification, escalation handling, and post-incident retrospectives.
Document root causes, resolutions, and preventative actions to improve product reliability, internal knowledge coverage, and operational maturity.
Contribute to the development and continuous improvement of escalation playbooks, runbooks, and support tooling.
Partner closely with Customer Success Managers to enhance Harvey’s post-sale technical engagement and overall customer experience.
What You Have
Experience supporting enterprise or highly regulated software products in technical support, escalation management, or technical account-facing roles.Proven experience engaging and managing high-level stakeholders both internally and externally.
Exceptional attention to detail with the ability to manage and resolve complex, multi-layered support cases
Strong technical foundation, with the ability to troubleshoot complex systems and collaborate effectively with Engineering and Product teams. Ability to bridge technical and non-technical communication by translating complex back-end and front-end concepts into clear, accessible language for customers
Deep customer obsession and ownership mindset - end-to-end accountability for customer outcomes and going beyond issue resolution to actively champion the customer's long-term success with the product.
Exceptional judgment under pressure, with comfort operating in high-severity, time-sensitive, and confidential situations.
Clear, polished written and verbal communication skills, with experience engaging senior customer stakeholders.
Demonstrated ability to manage multiple urgent issues simultaneously while maintaining accuracy, composure, and customer trust.
Highly collaborative mindset and strong partnership orientation with Customer Success and cross-functional teams.
Comfort operating in ambiguity and contributing to process-building in a fast-scaling environment.
Nice to Have
Experience supporting AI-powered, data-intensive, or security- and compliance-sensitive products.
Familiarity with incident management frameworks, on-call models, or escalation playbooks.
Prior experience working with law firms or professional services organizations.
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
#LI-JM1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Listed by Harvey for a position based in the United States. Employers on this board attest they are hiring domestically.
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
We're seeking a Sr. AI Enablement Engineer to advise on, build, integrate, and operate AI tooling for several departments within Harvey. You'll be the dedicated technical partner who turns AI capability into real workflows that teams use every day, owning the connector and MCP integrations that make those workflows possible, and work with cross-functional teams to evaluate new technologies in this space that we are seeking to adopt.
This is a hands-on technical IC role inside BizTech (Business Technology), partnering closely with teams across G&A, GTM, and Engineering. You'll spend your time evaluating vendors, prototyping AI workflows for business processes, writing integration code, and shipping tools that internal teams can extend on their own. The ideal candidate is a senior IC engineer who is equally comfortable in a code review, a privacy lawyer's office hours, and a People Operations workflow whiteboard — and who sees making other Harvey employees more productive with AI as the actual job.
WHAT YOU'LL DO
- Extend and govern AI workflows across the company. Harvey already runs AI agents in production, including automated IT support, with more functions coming online. You'll extend that into People, Legal, Finance, and Workplace: partner with the team that owns each high-friction workflow, ship the AI-powered version, and make sure it's governed and measured.
- Own technical governance of internal AI tools. Define the publishing process, scoping rules, and review cadence for the plugin and skill marketplace. Own the pre-deployment security-review path for new AI tools, and stand up spend and usage monitoring so cost and access stay visible as adoption scales.
- Own the MCP and connector roadmap for enterprise systems. Several MCP integrations are already piloted against core systems. You'll harden those into production and scale the pattern across HRIS, ERP, contract management, ticketing, and knowledge bases — defining the roadmap, building the integrations, and communicating what's available.
- Translate emerging AI capability into Harvey's internal roadmap. Track new MCP servers, agent frameworks, and new agentic features across the platforms in use, and make a clear, opinionated call on what to adopt, ignore, or wait on for relevant use cases.
- Run AI vendor security and privacy reviews as a structured workstream. AI-adjacent vendor evaluations land on BizTech regularly and are handled ad hoc today. You'll build a documented intake, a reusable AI vendor risk framework, and a clear sign-off path, partnering with Privacy, Security, and Legal.
- Build integration prototypes and reference architectures. Ship working examples that internal teams can extend on their own, so you're not the bottleneck for every new workflow.
- Be the technical partner of choice for G&A teams. Sit next to Finance on a NetSuite workflow, next to People on a Workday-flavored automation, next to Legal on a contract intake flow, and next to Privacy on a vendor review. Translate fluently in every direction.
WHAT YOU HAVE
- 5+ years of software or integration engineering experience, with at least 2 years building integrations between SaaS systems (HRIS, ERP, contract management, internal platforms, communication tools).
- Hands-on experience with API integration patterns, OAuth and identity, webhook architectures, and the kind of glue work that makes enterprise systems actually talk to each other reliably.
- Practical experience with LLM-based applications and AI tooling — prompt design, agent workflows, retrieval, evaluation, or production integration of model APIs. You don't need to have trained a model; you do need to have shipped something real that depends on one.
- Working knowledge of the Model Context Protocol (MCP) or comparable agent-tool integration patterns. If you haven't shipped MCP yet, you've at minimum read the spec and built something against it.
- Strong communication and stakeholder-management instincts, especially with non-technical partners — you can be the most technical person in a Privacy review and the most pragmatic person in an engineering one in the same afternoon, sitting between Finance, People, Legal, IT, and Privacy without losing context.
- Strong DevOps and operational fundamentals — CI/CD, infrastructure-as-code, secrets management, and observability. You treat the integrations and AI tools you ship as production systems: version-controlled, monitored, and safe to change without breaking the teams that depend on them.
- Demonstrated experience applying data governance & security best practices.
- Demonstrated comfort evaluating third-party vendors — reading DPAs, reasoning about subprocessor chains, asking the right questions about data flows, and translating findings into clear go/no-go recommendations for the business.
- Ability to thrive in a fast-paced, high-growth, and global environment with significant ambiguity.
Bonus Points:
- Background that includes both a customer-facing role (Forward Deployed Engineer, Solutions Engineer, Applied AI Engineer) and an internal tooling role.
- Familiarity with enterprise iPaaS platforms.
- Experience inside a Business Technology, IT, or internal platform org at a high-growth B2B SaaS company.
- Hands-on work with enterprise platforms like NetSuite, Workday, Ironclad, Zendesk, Salesforce, etc, including their APIs, custom development, or AI-adjacent extensions.
COMPENSATION
$153,500 - $220,300 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-RB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Listed by Harvey for a position based in the United States. Employers on this board attest they are hiring domestically.
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
We're seeking a Sr. AI Enablement Engineer to advise on, build, integrate, and operate AI tooling for several departments within Harvey. You'll be the dedicated technical partner who turns AI capability into real workflows that teams use every day, owning the connector and MCP integrations that make those workflows possible, and work with cross-functional teams to evaluate new technologies in this space that we are seeking to adopt.
This is a hands-on technical IC role inside BizTech (Business Technology), partnering closely with teams across G&A, GTM, and Engineering. You'll spend your time evaluating vendors, prototyping AI workflows for business processes, writing integration code, and shipping tools that internal teams can extend on their own. The ideal candidate is a senior IC engineer who is equally comfortable in a code review, a privacy lawyer's office hours, and a People Operations workflow whiteboard — and who sees making other Harvey employees more productive with AI as the actual job.
WHAT YOU'LL DO
- Extend and govern AI workflows across the company. Harvey already runs AI agents in production, including automated IT support, with more functions coming online. You'll extend that into People, Legal, Finance, and Workplace: partner with the team that owns each high-friction workflow, ship the AI-powered version, and make sure it's governed and measured.
- Own technical governance of internal AI tools. Define the publishing process, scoping rules, and review cadence for the plugin and skill marketplace. Own the pre-deployment security-review path for new AI tools, and stand up spend and usage monitoring so cost and access stay visible as adoption scales.
- Own the MCP and connector roadmap for enterprise systems. Several MCP integrations are already piloted against core systems. You'll harden those into production and scale the pattern across HRIS, ERP, contract management, ticketing, and knowledge bases — defining the roadmap, building the integrations, and communicating what's available.
- Translate emerging AI capability into Harvey's internal roadmap. Track new MCP servers, agent frameworks, and new agentic features across the platforms in use, and make a clear, opinionated call on what to adopt, ignore, or wait on for relevant use cases.
- Run AI vendor security and privacy reviews as a structured workstream. AI-adjacent vendor evaluations land on BizTech regularly and are handled ad hoc today. You'll build a documented intake, a reusable AI vendor risk framework, and a clear sign-off path, partnering with Privacy, Security, and Legal.
- Build integration prototypes and reference architectures. Ship working examples that internal teams can extend on their own, so you're not the bottleneck for every new workflow.
- Be the technical partner of choice for G&A teams. Sit next to Finance on a NetSuite workflow, next to People on a Workday-flavored automation, next to Legal on a contract intake flow, and next to Privacy on a vendor review. Translate fluently in every direction.
WHAT YOU HAVE
- 5+ years of software or integration engineering experience, with at least 2 years building integrations between SaaS systems (HRIS, ERP, contract management, internal platforms, communication tools).
- Hands-on experience with API integration patterns, OAuth and identity, webhook architectures, and the kind of glue work that makes enterprise systems actually talk to each other reliably.
- Practical experience with LLM-based applications and AI tooling — prompt design, agent workflows, retrieval, evaluation, or production integration of model APIs. You don't need to have trained a model; you do need to have shipped something real that depends on one.
- Working knowledge of the Model Context Protocol (MCP) or comparable agent-tool integration patterns. If you haven't shipped MCP yet, you've at minimum read the spec and built something against it.
- Strong communication and stakeholder-management instincts, especially with non-technical partners — you can be the most technical person in a Privacy review and the most pragmatic person in an engineering one in the same afternoon, sitting between Finance, People, Legal, IT, and Privacy without losing context.
- Strong DevOps and operational fundamentals — CI/CD, infrastructure-as-code, secrets management, and observability. You treat the integrations and AI tools you ship as production systems: version-controlled, monitored, and safe to change without breaking the teams that depend on them.
- Demonstrated experience applying data governance & security best practices.
- Demonstrated comfort evaluating third-party vendors — reading DPAs, reasoning about subprocessor chains, asking the right questions about data flows, and translating findings into clear go/no-go recommendations for the business.
- Ability to thrive in a fast-paced, high-growth, and global environment with significant ambiguity.
Bonus Points:
- Background that includes both a customer-facing role (Forward Deployed Engineer, Solutions Engineer, Applied AI Engineer) and an internal tooling role.
- Familiarity with enterprise iPaaS platforms.
- Experience inside a Business Technology, IT, or internal platform org at a high-growth B2B SaaS company.
- Hands-on work with enterprise platforms like NetSuite, Workday, Ironclad, Zendesk, Salesforce, etc, including their APIs, custom development, or AI-adjacent extensions.
COMPENSATION
$153,500 - $220,300 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-RB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Listed by Harvey for a position based in the United States. Employers on this board attest they are hiring domestically.
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
Harvey's Customer Education team is defining what best-in-class AI education looks like for legal professionals, and we're building the technical infrastructure to make that possible at scale. We are looking for an Automation Engineer to own the systems behind Harvey Academy and the help center, from AI agents and automation pipelines to video content and beyond.
You will partner directly with the Customer Education Strategist Lead, content specialists, and cross-functional teams to translate educational strategy into production-grade technical solutions. This is a high-autonomy role with direct ownership of systems that shape the customer experience at a category-defining legal AI company.
This is a rare opportunity to be the technical mind embedded within a high-performing, strategy-driven team. You'll be the person who looks at a manual, time-intensive content operation and replaces it with something smarter, faster, and scalable.
AI-powered content generation, automated publishing pipelines, and personalized learning at scale are challenges the industry is still figuring out. The solutions you build will directly determine how quickly Harvey's customers become experts on the platform. If you're an engineer who wants outsized influence, a short path from idea to impact, and the chance to help define what generative AI education looks like, this is that role.
What You'll Do
Build and maintain AI agents using LLM APIs (Anthropic Claude, OpenAI) to automate content creation, review, and publishing workflows across Harvey Academy and the help center.
Own and optimize the learning technology stack, including Skilljar and Sanity CMS integrations, ensuring reliability, extensibility, and seamless content publishing.
Identify and eliminate bottlenecks in content operations by building automation where it doesn't exist yet.
Partner with Product, User Operations, and GTM to identify opportunities for systems improvement and AI-driven innovation across the customer education ecosystem.
Use technical expertise to explore implementation of interactive learning components based on instructional design direction from team members.
What You Have
5+ years of experience in automation engineering, with demonstrated experience designing and building API integrations
Proficiency with modern web technologies (HTML, CSS, JavaScript, and React or similar), ideally in a fast-paced or high-growth environment.
Hands-on experience building AI agents, LLM-powered workflows, including prompt engineering and API integrations with platforms like Anthropic Claude or OpenAI.
Track record of supporting production systems end-to-end, ideally including LMS platforms, CMS tools, or similar content delivery infrastructure.
Strong ability to operate autonomously, translating business needs into well-architected technical solutions with minimal oversight.
Excellent communication skills with the ability to collaborate closely with non-technical teammates and explain technical tradeoffs clearly.
Comfort working in documentation-heavy or content-ops environments
Nice to Have
Familiarity with content governance or audit systems, including automated review triggers and freshness logic
Experience building and operating AI video generation pipelines, using tools like ElevenLabs or equivalent, to produce scalable video content.
Experience coding interactive elements within LMS platforms
Compensation
$123,600 - $185,400
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
#LI-ML1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Listed by Harvey for a position based in the United States. Employers on this board attest they are hiring domestically.