Senior Solutions Engineer

Key Areas of Responsibility

Solution Sales

Focus: Supporting the deal lifecycle, value engineering, and stakeholder management.

• Drive the solution sales cycle: Collaborate closely with Account Executives owning the solution components of the deal, moving opportunities from discovery to closed/won. Own the technical solution responses to RFPs, RFIs, and Security Questionnaires.
• Articulate value & vision: Confidently present the Ketch platform and vision to diverse audiences, from C-level executives to security engineers and legal counsel, tailoring the narrative to frame and quantify value for each stakeholder.
• Deliver compelling demonstrations: Lead high-impact product demonstrations, whiteboarding sessions, and Q&A forums that clearly visualize how Ketch solves complex data permissioning challenges.

Solution Design

Focus: Solution architecture, hands-on demo build, prototyping, and validation.

• Architect customer solutions: Translate customer business challenges into robust technical designs. Produce detailed solution architecture diagrams that highlight data flows, front-end integrations, backend system integrations, and solution sequencing. Produce assets that describe how users will interact with and benefit from the solution.
• Rapid demo builds and prototyping (Front-end): Independently build front-end visionary demos using tools like Webflow, JavaScript, and HTML to visualize the user experience in the customer context.
• Integration (Back-end): Prototype back-end integrations with customer internal systems using REST APIs and your understanding of JSON to demonstrate interoperability.
• Validate technical fit: When appropriate, design and lead technical workshops and Proof of Value (POV) engagements to validate the solution against specific customer use cases and success criteria.
• Scope implementation: Assess the prospect's delivery capabilities and determine the necessity for Ketch Professional Services or partner involvement, ensuring a seamless transition from sales to deployment.
• Customer Success : Own the handover of the solution to the Customer Experience (and when appropriate, the partner) team.

Domain Expertise & Thought Leadership

Focus: Industry knowledge, technology expertise, market strategy, and product feedback.

• Serve as a Privacy SME: Maintain deep immersion in the evolving data privacy landscape, including global laws (GDPR, CCPA, etc.), regulatory requirements, and enforcement actions.
• Mastery of the data ecosystem: Leverage strong familiarity with large-scale database technology (e.g. Snowflake, Databricks, BigQuery) and cloud technologies (AWS, GCP) to advise on data governance and integration best practices.
• Mastery of the advertising ecosystem: Maintain an up-to-date understanding of the advertising technology landscape and the impact of privacy on data collection and activation.
• Competitive strategy: Maintain an up-to-date understanding of competitive technologies, equipping the sales team with the knowledge to position Ketch effectively in the market.
• Cross-functional collaboration: Act as the "voice of the customer" by collaborating with Product Management and Engineering to influence the roadmap, while working with Marketing to develop cross-functional solution guides and technical assets.

Requirements

Professional Experience:

• 10-15 years working experience.
• 5+ years of experience in a Solution Engineering, Sales Engineering, or Technical Consulting role, preferably within an Enterprise SaaS environment.
• Proven track record of supporting complex sales cycles and co-selling with Account Executives to close 6-figure+ deals.
• Experience working in the Data Privacy, Data Governance, Security, or AdTech/MarTech sectors is highly preferred.

Technical Skills:

• Front-End Prototyping: Practical working knowledge of HTML, CSS, and JavaScript. Experience with low-code design tools (e.g. Webflow) to build visual mockups and interactive prototypes is essential.
• API & Integration fluency: Understanding of RESTful APIs, JSON payloads, and webhooks. Ability to use tools like Postman to test endpoints.
• Data Ecosystems: Strong familiarity with modern data platforms (Snowflake, Databricks, BigQuery). You do not need to be a database admin, but you must be comfortable navigating a database schema and performing data updates to tables.
• Architecture & Diagramming: Ability to create clear, professional solution diagrams (using tools like Lucidchart) that explain data flows to both technical and non-technical audiences.
• Web architecture: You must understand and be able to explain how a web browser works at a technical level.

Core Sales & Soft Skills:

• Presentation Mastery: Exceptional verbal and written communication skills. You must be comfortable whiteboarding a solution on the fly and pivoting a conversation from a high-level executive summary to a deep-dive technical debate.
• Discovery & Consulting: Strong "detective" skill. The ability to ask second and third-level questions to uncover the root cause of a prospect's pain, implication and need (e.g., MEDDPICC/Value Engineering). Be deeply curious and follow the thread.
• Self-Starter Mentality: A demonstrated ability to work independently in a fast-paced environment, learning new technologies and regulations rapidly without hand-holding or seeking permission. Do it now.

Nice-to-Haves:

• Privacy Certification: CIPP/E, CIPP/US, or CIPM certifications from the IAPP.
• AdTech/MarTech Knowledge: Familiarity with how data moves through marketing ecosystems (CDPs, DMPs, DSPs)

Other:

• Must be able to work legally in the United States
• B.S Computer Science, Software Engineering, MIS or equivalent relevant experience required
• English language fluency required, additional languages a plus
• Able to travel up to 20% of the time

Location:

Preference is to have the role work in the US Eastern or Central time zone(s). This is a remote role.

$140,000 - $250,000 a year

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.