Staff Solutions Architect

Description

The company built the first technology platform for responsible data use in 2016 and now extends that work to AI, the newest and largest expansion of data.

Its governance platform combines regulatory intelligence, automation and connected governance workflows so businesses can keep moving fast with AI while controlling data misuse at scale. Thousands of organizations worldwide use it.

This customer-facing role sits in R&D Customer Engineering. You will lead AI governance initiatives within the Design Partner Program, working with some of the company's most innovative and influential customers as they run AI governance across the enterprise.

You will be the link between customers, product management, engineering and executive leadership, turning what you learn from AI leaders, governance, privacy, legal and engineering teams into product strategy and roadmap investments.

The goal is to help customers govern AI with confidence, speed up adoption, and keep the company the trusted platform for responsible AI at enterprise scale.

Responsibilities

• Shape the AI governance solution vision by turning customer requirements, new regulations and market needs into scalable capabilities, architecture patterns and roadmap priorities.
• Act as the main technical and domain adviser to Design Partner customers, leading discovery sessions, architecture workshops, solution reviews and technical assessments on AI governance, responsible AI and enterprise AI adoption.
• Connect customer challenges with product management, engineering and architecture, converting business goals, governance requirements and implementation gaps into reusable product investments and reference solutions.
• Design scalable, secure and resilient patterns across AI inventories, AI assessments, AI risk management, governance workflows, model oversight, policy management and compliance operations.
• Define integration approaches covering APIs, data flows, governance controls, identity and operational workflows so customers can connect the platform to their wider enterprise systems.
• Influence product and engineering direction through customer insight, feasibility analysis and hands-on solution design, aiming at faster adoption, quicker implementation, better quality and long-term reuse.
• Represent the customer voice in roadmap planning, executive reviews and cross-functional prioritization, so high-value challenges become differentiated platform capabilities.
• Track measurable customer outcomes in AI governance maturity, compliance readiness, risk reduction, operational efficiency, adoption and expansion.
• Create best practices, reference architectures and reusable implementation patterns that internal teams and strategic customers can use to run responsible AI at enterprise scale.
• Represent the company as a thought leader on AI governance frameworks, responsible AI principles and enterprise solution design through customer engagements, workshops and field enablement.

Requirements

• A strategic, customer-facing technical leader who works across product strategy, solution architecture and AI governance.
• Comfortable engaging executives, architects, engineers, product leaders, legal, privacy and governance teams.
• Technically deep, and able to explain architectural trade-offs and governance complexity in clear business terms.
• A systems thinker who designs for scale, reuse, security, resilience and long-term maintainability.
• Works well with ambiguity and balances immediate customer needs against platform strategy.
• Driven by customer problems and by turning AI governance challenges into practical, high-impact solutions.
• Influences without direct authority, using sound judgment, stakeholder management and cross-functional leadership.
• Cares about responsible AI and emerging AI regulation, and wants customers to adopt AI with trust and control.
• Moves from strategy to detailed solution design, and is collaborative and accountable.
• Enjoys building repeatable patterns, shaping product direction and delivering measurable impact across several strategic engagements.
• Extra Awesome: 8+ years of experience in solution architecture, enterprise architecture, solutions consulting, technical product leadership or strategic customer-facing roles in enterprise SaaS.
• Extra Awesome: significant experience in AI governance, responsible AI, AI risk management, privacy, security, compliance, data governance or related governance areas.
• Extra Awesome: a proven record of working directly with enterprise customers to define requirements, lead discovery, shape technical strategy and drive adoption.
• Extra Awesome: a track record of turning regulatory requirements, governance frameworks and customer needs into scalable product capabilities and operational workflows.
• Extra Awesome: experience designing enterprise SaaS solutions, including APIs, integrations, data models, architecture patterns and secure implementation approaches.
• Extra Awesome: a solid grasp of AI technologies, generative AI, LLMs, AI agents, evaluation frameworks and the governance issues tied to enterprise AI deployments.
• Extra Awesome: experience partnering with product management, engineering, architecture, UX, legal, privacy, security and go-to-market teams to influence roadmap and delivery.
• Extra Awesome: strong executive communication, workshop facilitation, presentation and stakeholder management skills.
• Extra Awesome: the ability to influence product strategy using customer insight, technical analysis, market understanding and business impact assessment.
• Extra Awesome: experience creating reference architectures, reusable implementation patterns, best practices or solution standards that improve scalability and customer outcomes.
• Extra Awesome: familiarity with AI regulations and frameworks such as the EU AI Act, NIST AI RMF, ISO 42001, model governance frameworks and responsible AI principles.
• Extra Awesome: a bachelor's degree in a relevant field is required, and advanced certifications or credentials in AI governance, privacy, security or architecture are a plus.

Conditions

For candidates based in California, Colorado, Connecticut, Nevada, New York, Rhode Island or Washington, the annual base pay range is $139,725 - $209,588 USD.

Pay within that range depends on location, job-related skills, work experience, and education or training.

The role may also be eligible for discretionary bonuses, equity and/or commissions, as well as benefits.

The company works office-first, with most roles expected in the office 3 days a week and plenty of chances to collaborate in person.

Arrangements can vary with the scope of the role, so confirm the details with your recruiter in your first interview.

Benefits

• Support for your physical, mental and emotional wellbeing, both at work and outside it.
• Comprehensive healthcare coverage, flexible PTO, equity RSUs and annual performance bonus opportunities.
• Retirement account support and 14+ weeks of paid parental leave.
• Career development opportunities and company-paid fees for privacy certification exams.
• Specific benefits differ by country, so ask your recruiter for the details.