Senior Solutions Engineer at Relyance AI

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Highly accomplished experience in solutions engineering/architecture, technical consulting, forward-deployed engineering or similar roles at the intersection between customers and product
Engineering mindset and strong technical foundations, comfortable working with APIs
Experience with Python/Gen AI/LLMs is highly valued
Ability to translate business needs into technical solutions and communicate complex concepts to non-technical stakeholders
Experience building demo environments and productionising use-cases on low-code SaaS platforms and/or AI solutions
Proven customer-facing skills with a track record of driving technical value and success with Enterprise customers in fast-paced environments
Passion for AI and its real-world applications, with a customer-first mindset and a drive for continuous learning

Responsibilities

Engaging with customer stakeholders (technical and executive) to identify high-impact automation opportunities and guide AI agent adoption across pre- and post-sales phases
Delivering compelling, tailored presentations and demonstrations that showcase the business value and operational impact of AI agents
Conducting in-depth discovery sessions to assess and understand customer requirements as well as their deepest pain points
Designing and developing tailored AI agents that solve real business problems, ensuring operational fit, scalability, and measurable value
Leading customer enablement through hands-on training, onboarding, and ongoing support to drive self-sufficiency on the Relevance AI platform
Acting as a strategic partner, influencing product direction through customer insights while identifying opportunities for deeper integration and growth

Skills

Key technologies and capabilities for this role

AI AgentsLow-Code PlatformsNo-Code PlatformsSolutions EngineeringPre-SalesPost-SalesAI ArchitectureTechnical DemonstrationsCustomer EngagementAutomation

Questions & Answers

Common questions about this position

Is this role remote or hybrid, and what's the office requirement?

The position is hybrid, requiring 3 days in office in San Francisco, United States.

What technical skills are required for this Senior Solutions Engineer role?

Candidates need an engineering mindset with strong technical foundations, comfort working with APIs, and experience with Python, Gen AI, and LLMs is highly valued.

What prior experience is needed for this position?

Highly accomplished experience in solutions engineering/architecture, technical consulting, forward-deployed engineering or similar roles at the intersection between customers and product is required.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Solutions Engineer position?

A strong candidate has varied experience in pre/post-sales roles, passion for agentic AI and creative problem-solving, and the ability to translate business needs into technical solutions while working directly with enterprise customers.

Relyance AI

Data protection and privacy compliance platform

About Relyance AI

Relyance AI specializes in data protection and privacy compliance by using machine learning to create a real-time inventory and map of personal data flows within organizations. Their software-as-a-service (SaaS) platform allows clients to monitor data processing activities, ensuring compliance with privacy regulations. What makes Relyance AI different is its focus on automating data tracking, which reduces manual workflows and compliance risks. The company's goal is to help organizations maintain user trust and meet regulatory requirements effectively.

Mountain View, CaliforniaHeadquarters

2020Year Founded

$60.3MTotal Funding

SERIES_BCompany Stage

Enterprise Software, Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Risks

Emerging competition from platforms like OneTrust and TrustArc.

Frequent updates needed due to evolving AI regulations increase costs.

Complex data privacy laws across jurisdictions challenge universal compliance.

Differentiation

Relyance AI uses machine learning for real-time data flow mapping.

The platform offers asset-level visibility and lineage for sensitive data.

Relyance AI integrates privacy compliance directly into code bases.

Upsides

Raised $32M in Series B funding, enhancing growth and innovation.

Named a 2023 Gartner Cool Vendor in Privacy, boosting credibility.

Growing demand for AI-driven compliance solutions supports market expansion.

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