Engagement Lead, Future Platforms | Housing
Drives customer deployments for early-stage AI platform products in housing, managing end-to-end engagements, stakeholder alignment, implementation, and product feedback. Builds scalable playbooks and supports sales/expansion; requires 5-8 years in strategy/product and technical intuition.
About the job
Key Responsibilities
- Own engagement success end-to-end: Serve as the primary driver of customer deployments from late-stage sales handoff through launch and post-launch stabilization; ensure outcomes, timelines, and stakeholder alignment.
- Support sales and expansion: Participate in later-stage sales and pre-sales discovery to set up successful engagements; help scope realistic engagements and identify follow-on opportunities.
- Lead discovery, scoping, and decisioning: Translate fuzzy goals into crisp requirements, workflows, success metrics, and rollout plans; guide customers through tradeoffs, product constraints, and adoption choices.
- Run the execution motion: Maintain multi-threaded project plans under ambiguity; coordinate across internal teams and external stakeholders; create clear operating cadences, risk tracking, and launch readiness.
- Configuration and launch: Collaborate with product operations, engineering, and training teams to drive product configuration, data migration, launch, and successful adoption.
- Inform and support product development: Partner with Product/Engineering to define net-new product workflows and requirements and help shape the product roadmap—based on scoping learnings, customer input, and real-world usage.
- Build the scalable playbook: Turn lessons from engagements into repeatable processes, templates, and systems—improving speed and quality as we scale.
Requirements
- 5–8 years of experience in management consulting, corporate strategy, product management, and/or founder/operator roles at high-growth startups
- Strong technical intuition, demonstrated by STEM degree or equivalent technical background
- Proven ability to take ownership and operate autonomously with strong judgement in fast-paced, ambiguous environments
- Proven ability to independently manage complex projects end-to-end in a client facing setting
- Excellent communication and ability to naturally build strong relationships and influence across internal and external stakeholders
- Ability to operate creatively and flexibly while maintaining sharp attention to detail
- Willingness to travel ~1x per month for ~3 days
- Willingness to work in person at our office 4-5 days a week
Compensation
Salary range: $190,000 - $250,000 base, plus equity and comprehensive benefits including medical/dental/vision (100% covered), fully paid parental leave, 401k, fitness stipend, unlimited vacation, and relocation support.
Skills
Project Management, Stakeholder Management, Product Requirements, Workflow Design, Customer Deployment, Sales Handoff, Risk Tracking, Data Migration, Product Roadmap, Process Automation
Similar jobs
Solutions Architecture jobsLeads complex enterprise AI platform deployments from sales handoff through launch, stabilization, and adoption. The role requires 5–8 years of implementation or transformation experience, strong technical intuition, stakeholder leadership, and comfort building scalable deployment processes.
Leads a pre-sales Solutions Architect team serving healthcare provider organizations, driving technical wins, customer value, and multi-product adoption. Requires 5+ years in data technology and technical team leadership, plus experience advising executives and building strategic accounts.
Senior forward deployed engineer embedded with a strategic customer to build and deploy production systems on Cloudflare, shape architecture, and influence product direction. Requires 7+ years of software engineering experience, full-stack depth, cloud expertise, and strong customer-facing communication.
Provides architectural and hands-on technical guidance for enterprise adoption of Datadog’s Service Management suite, while creating reusable enablement assets and influencing product strategy. Requires strong engineering, observability, incident-response, automation, and customer-consulting experience.
Own technical discovery, integration, deployment, and optimization of voice AI solutions for strategic enterprise restaurant customers. The role requires strong software engineering, production troubleshooting, customer communication, and the ability to turn deployment patterns into reusable systems.