Lead strategy, roadmap, and execution for Agentic Search products, driving search quality, scaling AI Search, shaping Web Search API, and partnering across engineering, ML, product, and business teams.
Locations (5)
Austin, Texas, United States
Lisbon, Lisbon District, Portugal
San Francisco, California, United States
NYC, New York, United States
London, England, United Kingdom
Compensation
Compensation may be adjusted depending on work location. For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000. For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000. For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000.
Technical owner of the AI Gateway platform, leading design, implementation, and rollout of AI Security and Generative AI (GenAI) data protection capabilities.
Principal Engineer responsible for guiding the technological evolution of Sensedia’s product platform, setting architectural direction, leading transformation initiatives, and influencing cross‑functional stakeholders.
Responsibilities
Define future product vision and transformation initiatives
Lead architecture transition from current to target state
Integrate generative AI and agentic capabilities into product architecture
Develop prototypes, proofs of concept, and pilots
Collaborate with Product Managers on market, competitive, and technology trends
Technical owner of the AI Gateway platform leading the design, implementation, and enterprise rollout of AI Security and Generative AI (GenAI) data protection capabilities.
Locations (11)
Johnston, Rhode Island, United States
Boston, Massachusetts, United States
Marlton, New Jersey, United States
Pittsburgh, Pennsylvania, United States
Phoenix, Arizona, United States
Responsibilities
Own strategy, roadmap, and execution for Agentic Search
Define and measure search quality metrics
Scale AI Search for enterprise workloads
Shape Web Search API next features
Partner with engineering, ML, product, marketing, and sales
Requirements
Nice to have: Experience with search products
Nice to have: Experience with AI-native products
Nice to have: Experience with usage-based pricing
Nice to have: Experience with partner and business development
The salary range for this position is $130,000 - $195,000 per year, plus an opportunity to earn additional incentive earnings.
Responsibilities
Own the end to end AI Gateway capability across evaluation, proof of concept, selection, deployment, configuration, policy tuning, operational support, and continuous improvement.
Develop and execute a phased rollout from monitor mode to warn and coach to targeted blocking, using observed AI traffic and risk metrics to establish baselines and control implementation.
Engineer and tune controls for GenAI prompts, file uploads, browser traffic, embedded copilots, and sanctioned and unsanctioned AI applications.
Implement inline remediation controls including redaction, quarantine, user coaching, warning, and blocking.
Establish instance aware controls that distinguish corporate from personal accounts and reduce data leakage risk.
Requirements
Bachelor's degree in Computer Science, Information Security, Information Technology, or related field
The salary range for this position is $130,000 to $195,000 per year, plus an opportunity to earn additional incentive earnings. Actual pay is based on various factors including but not limited to, the budget, work location, and relevant skills and experience.
Responsibilities
Own the end to end AI Gateway capability across evaluation, proof of concept, selection, deployment, configuration, policy tuning, operational support, and continuous improvement.
Develop and execute a phased rollout from monitor mode to warn and coach to targeted blocking, using observed AI traffic and risk metrics to establish baselines and control implementation.
Engineer and tune controls for GenAI prompts, file uploads, browser traffic, embedded copilots, and sanctioned and unsanctioned AI applications.
Implement inline remediation controls including redaction, quarantine, user coaching, warning, and blocking.
Establish instance aware controls that distinguish corporate from personal accounts and reduce data leakage risk.
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