Senior Manager AISE, Tier 2-3, Post Sales
Listed on 2026-02-09
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IT/Tech
Data Science Manager, Systems Engineer, IT Project Manager, AI Engineer
About The Role
We’re hiring a Manager, Scale Post-Sales AISE to lead and grow a team of post-sales AI Solutions Engineers focused on scaled customer success. You’ll own the strategy and execution of our 1-to-many post-sales motion—building the programs, operating rhythm, and cross-functional partnerships required to drive customer outcomes ’ll lead a team, set priorities, ensure high-quality delivery, and continuously improve the scaled journey using data, feedback loops, and operational rigor.
WhatYou’ll Do
- Lead and develop the Scale Post-Sales AISE team. Hire, onboard, coach, and retain a high-performing team. Set clear expectations, develop technical and program leadership skills, and create a culture of customer empathy, operational excellence, and scalable impact.
- Own scaled post-sales strategy and program execution (1-to-many). Define the scaled post-sales engagement model, success milestones, and program portfolio (e.g., onboarding cohorts, office hours, enablement webinars, scaled implementation paths). Ensure programs are repeatable, measurable, and aligned to key product outcomes and customer segments.
- Run the operating system: metrics, prioritization, and cross-functional alignment. Build the instrumentation and operating cadence to track outcomes (activation, time-to-first-value, feature adoption, retention/expansion signals, support deflection). Partner with Support, Sales, Product, Docs, and Engineering to remove friction, improve self-serve experiences, and feed adoption insights into roadmap and enablement improvements.
- 6–10+ years in customer-facing technical roles (Solutions Engineering, Solutions Architecture, Technical CSM, Post-Sales Engineering), including 2+ years of people management or team leadership.
- Proven experience building and operating scaled customer success motions (1-to-many programs, lifecycle enablement, playbooks, templates) with measurable business impact.
- Strong technical foundation in ML/AI workflows and modern tooling; comfortable guiding technical direction and reviewing solution designs.
- Excellent communication skills—able to influence across functions, present to groups, and write clearly for broad audiences.
- Highly operational: you can set goals, build dashboards/metrics, create a cadence, and drive continuous improvement.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
- Experience building and scaling technical post-sales teams across geographies
- Familiarity with data engineering, MLOps/LLMOps practices, and modern deployment tooling (Docker, Kubernetes, cloud-native services)
- Knowledge of enterprise adoption metrics and operational reporting for technical teams
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
- You love mentoring technical teams and helping them grow into world-class engineers
- You’re curious about how the best AI/ML teams in the world bring ideas into production
- You’re an expert in building scalable programs and processes that accelerate customer success
We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from…
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