Forward Deployed Engineer, Relyance AI
$157-190k
OTE
OTE includes a base salary and variable compensation
2+ days a week in office
AI & data security platform
Open for applications
AI & data security platform
101-200 employees
Open for applications
$157-190k
OTE
OTE includes a base salary and variable compensation
2+ days a week in office
101-200 employees
Company mission
To secure the future of data-driven enterprises by making every data journey visible, controlled, and compliant, from the first line of code to the final AI output.
Role
Who you are
- This role is ideal for someone who enjoys jumping into complex customer environments, figuring out how things actually work, and designing practical solutions that make real systems and processes run better
- Deep discovery leadership: Ability to run structured discovery, listen for the real problem, ask sharp follow-ups, map stakeholders, and translate customer pain into clear outcomes + a concrete technical plan
- Hands-on solution delivery: Proven ability to design, implement, and validate solutions — from integration planning through deployment and post-go-live optimization
- Customer-facing technical + account ownership: Experience owning technical relationships and outcomes in roles like Solutions Engineer, Solutions Architect, TAM, Implementation Lead, Support/Systems Engineer, etc.—comfortable being the technical owner for an account
- Cloud deployment experience: Hands-on experience designing and deploying solutions in AWS, GCP, or Azure (architecture, services, permissions, networking basics, operational considerations)
- Strong data ecosystem understanding: Working knowledge of modern data landscapes—sources, pipelines, storage/warehouses/lakes, data movement, observability, and how tools connect across teams
- Integration and troubleshooting proficiency: Comfortable with APIs (REST), auth patterns (OAuth/SSO concepts), logs/debugging, and integration validation tools (e.g., Postman). Bonus if you can script/automate and reason about data (SQL)
- AI-powered building mindset: Proficiency in leveraging AI tools to build—prototypes, automations, accelerators, internal utilities, and customer-facing workflows/demos that speed delivery
- High ownership + detail orientation: Strong accountability, follow-through, and operational rigor—able to run multiple workstreams, track risks, and deliver reliably
- Clear communication for mixed audiences: Ability to explain complex technical concepts to both technical and non-technical stakeholders; strong stakeholder management and crisp written updates
- Early-product / GTM maturity: Comfort working with new or emerging products—guiding early adopters, creating repeatable playbooks, and shaping product fit via structured feedback to Product/Engineering
What the job involves
- As a Forward Deployed Engineer (FDE) at Relyance AI, you partner closely with prospects and customers to translate real-world privacy, security, and AI governance challenges into working solutions on the Relyance platform. You help prospects understand how Relyance will operate in their environment and then work hands-on throughout the customer journey to deploy solutions, drive value realization, and expand adoption across their organization
- FDEs play a critical role across the customer journey—from early discovery and solution design through implementation, enablement, and ongoing adoption—ensuring organizations achieve measurable outcomes with Relyance
- Run deep, structured discovery with customer stakeholders (Security/Privacy/Data/Engineering): listen hard, ask incisive follow-ups, uncover root causes, and translate pain into clear outcomes and an actionable technical plan leveraging the Relyance AI platform
- Own the technical solution end-to-end—from architecture and integration design through implementation—making pragmatic tradeoffs that balance speed, security, and long-term maintainability
- Implement and ship: configure the platform, stand up integrations, validate outcomes, troubleshoot in real time, and deliver working deployments (not just recommendations)
- Build reusable technical assets that accelerate success: repeatable rollout playbooks, runbooks, reference architectures, automation/scripts, validation checklists, and “starter” templates that customers can adopt and scale
- Partner with the Value Realization team to drive measurable outcomes and adoption by helping define success metrics, establishing technical baselines, and delivering technical enablement (workshops, working sessions, office hours) that turn platform capabilities into sustained usage
- Serve as the technical lead for your accounts, partnering with Sales and the Value Realization team to ensure successful deployments, strong technical adoption, and opportunities to expand platform usage
- Shape product direction with concrete customer evidence: synthesize discovery patterns, propose product gaps and solutions, and work closely with Product/Engineering—especially with early adopters—to refine product fit
- Communicate with clarity and precision: concise updates, strong stakeholder management, and crisp articulation of risks, timelines, and tradeoffs for both technical and non-technical audiences
Our take
Privacy and data governance are essential for businesses to minimize risk and maintain compliance, but modern data flows are difficult to keep track of. Data is shared through code, applications, third-party vendors, and infrastructure, and the manual aggregation of these sources into one place is too laborious for companies to have a comprehensive and holistic view of data risks.
Relyance AI provides a data governance and compliance platform, leveraging machine learning to build a dynamic real-time data inventory for businesses and mapping data flows to identify vulnerabilities. The platform also provides functionality for comparing data flows against contracts automatically, identifying when data processing activity is out of sync with compliance regulations.
While many other startups are leveraging AI to automate compliance and data governance, Relyance AI has focussed on increasing the transparency of data flows through automated mapping. With this approach, the company claims it can increase businesses’ understanding of their data flows and how to keep them compliant, ultimately saving them from expensive legal consequences and reputational damage.
Steph
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Oct 2024
$32m
SERIES B
Sep 2021
$25m
SERIES A
Total funding: $62m
Company HQ
Cuernavaca, Mountain View, CA
Leadership
Leila R. Golchehreh
(Co-Founder & Chief Strategy Officer)Experience as Data Protection Officer for Adaptive Insights. Senior Data Protection Lawyer & Data Protection Officer for Silicon Valley Trust from 2018 to 2020.
Abhi Sharma
(Co-Founder & CEO)Experience as Platform Engineer for AppDynamics. Founding Member and Head of ML & Analytics for FogHorn Systems from 2015 to 2020.
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