Top Tech Jobs & Startup Jobs in Seattle, WA

Generate new sales opportunities by prospecting key stakeholders, conducting personalized outreach, handling objections, and partnering with account executives. The role requires relationship building, creative prospect engagement, coachability, persistence, and continuous skill development. Preferred candidates have prospecting or sales opportunity generation experience, recruiting or human capital exposure, a proven achievement record, and familiarity with sales and collaboration tools.

Lead BrightHire’s multi-product strategy across AI-powered hiring products, defining market direction, prioritizing investments, and translating strategy into high-quality execution. Partner with executive, engineering, sales, marketing, and customer success teams to drive adoption, retention, revenue, and growth through Zoom’s broader platform. Build AI-native products with strong reliability, trust, usability, and enterprise value while raising product judgment and execution standards across the organization.

Lead major product initiatives from customer discovery through launch, adoption, and iteration, including zero-to-one AI-powered products and new SKUs. Define product direction, prioritize opportunities, partner with Engineering and Design on model behavior, prompts, evaluation, quality, and UX, and engage customers to validate solutions. Collaborate with Sales, Customer Success, Marketing, and Zoom to drive adoption and measurable customer value.

The Mid-Market Customer Success Manager at BrightHire oversees a portfolio of customers, driving engagement from implementation to renewal while ensuring customer satisfaction and value realization. The role requires autonomy, data fluency, strong communication skills, and collaboration across teams to optimize customer outcomes.

Build and productionize end-to-end AI-powered product features: prototype and iterate on prompts, retrieval flows, evals, backend systems, APIs, data models, and UX to deliver reliable, customer-facing LLM workflows.

Build and own end-to-end AI features across the stack: prompt engineering, evals, vector search, backend/data models, and frontend interactions. Ensure accuracy, safety, speed, and on-brand AI outputs. Collaborate with Product and Design to iterate on generative AI features used daily (coaching, candidate summaries, natural-language assistant).