Product Engineer
Sable · On-site
MeritLog read this listing from Sable's Ashby job board and last checked it on September 10, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- San Francisco
Hiring context
How this role compares at Sable
Sable has 6 live roles in MeritLog’s catalog across 4 job families, and 3 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- Design and improve upon features within the platform: Brain editing, journey building, session analytics/insights, AI employee configuration
- Talk to customers alongside our deployment team, identify where they get stuck, and turn those observations into a prioritized roadmap of what to build next
- Test your work with real customers alongside our deployment team and iterate fast
- Establish Sable's product development operating model and quality bar as the team grows around you
What they're asking for
- An engineer with experience building leading AI products designed with the user journey in mindSkill
- Strong product instincts; you can take one line of guidance or feedback and return a production-ready, polished surface or plan for new user workflowSkill
- Experience designing tools for non-technical operators (most end users are marketing, sales and CS teams, not engineers). Comfortable working with our deployments team to scope and define solutionsSkill
- You have a point of view on what is needed to make self-serve products succeed (e.g., easy onboarding, progressive disclosure, and knowing what to leave out as well as what to put in)Skill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
ABOUT SABLE Sable built Aidan, the first AI employee who can lead customer calls using realtime voice, vision, and browser use. Aidan runs a live, two-way conversation inside a real product environment, clicking through the product like a human, watching the user's screen, and adapting the journey on the fly. Every conversation feeds a self-improving context graph we call the Brain, so Aidan gets smarter with each call. THE ROLE We need someone who can own the customer-facing side of our platform: figuring out what to build based on feedback from customers and our deployments team, building it, and pushing it to production. The next phase of Sable's growth involves making the platform as intuitive to use as possible: giving customers a simple and straightforward way to create and deploy their AI employees. That takes more than a clean UI: it takes someone who can empathize with the problems of the non-technical end-users of these tools, translate a one-line founder directive or a messy customer request into a scoped, shippable feature, and own product decisions. You'll define, design, and build the solutions our customers and deployments teams need. WHAT YOU'LL DO - Design and improve upon features within the platform: Brain editing, journey building, session analytics/insights, AI employee configuration - Talk to customers alongside our deployment team, identify where they get stuck, and turn those observations into a prioritized roadmap of what to build next - Test your work with real customers alongside our deployment team and iterate fast - Establish Sable's product development operating model and quality bar as the team grows around you WHO YOU ARE - An engineer with experience building leading AI products designed with the user journey in mind - Strong product instincts; you can take one line of guidance or feedback and return a production-ready, polished surface or plan for new user workflow - Experience designing tools for non-technical operators (most end users are marketing, sales and CS teams, not engineers). Comfortable working with our deployments team to scope and define solutions - You have a point of view on what is needed to make self-serve products succeed (e.g., easy onboarding, progressive disclosure, and knowing what to leave out as well as what to put in)