СШАManager, GTM Engineering
1 мес. назад
140k–175k USD / годСШАLeadHybrid
architecturedata modelingautomation
Manage engineering efforts for Enterprise commercial pillar focusing on Primary Care referrals and Employee Assistance Program.
О компании
- Grow was born to tackle a critical challenge: making mental health care more effective and accessible for everyone. Since launching in 2020, 15 million sessions have started on Grow, and we've barely scratched the surface. We do it through a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Every solution we build reveals ten more waiting to be delivered, and that's just what gets us going. We've backed that ambition with more than $328M in funding, including our Series D at a $3B valuation from Sequoia Capital, Transformation Capital, TCV, SignalFire, Menlo Ventures, Goldman Sachs Alternatives, and others.
- At Grow, the work you do can literally change someone's life. Your work here doesn't stay on a screen; it impacts whether someone can find, afford, and access quality care. That ambition sets us apart, and offers you an endless runway to impact one of the world's most urgent issues. We don’t have passenger seats here. Everyone is driving something that matters.
- This work deserves real commitment. So if you thrive on meeting problems head on, untangling serious complexity, and working at pace with the sharpest yet kindest people around, you've come to the right place.
- is seeking a Manager, GTM Engineering to architect the systems, data model, and automation layer behind our Enterprise commercial pillar - spanning both Primary Care physician referrals and our Employee Assistance Program (EAP) motion through benefits consultants - while also serving as the architecture owner for Grow's GTM systems end-to-end, including Provider Experience. Day to day, your build focus will be standing up the PCP and EAP motions; at the same time, you'll set the technical standards, data model conventions, and governance practices that keep Provider Experience, PCP, and EAP running as one coherent system rather than three disconnected ones.
- This is a high-ownership, builder-first role for someone who wants to build the operating system behind two very different revenue engines within Grow's Commercial organization, while shaping the architecture the rest of GTM Engineering builds on. For now, this role and the GTM Engineer, Provider Experience both report directly to the Head of Revenue Operations; as PCP and EAP come online, we'll build out the right team structure for a dedicated GTM Systems function.
Требования
- Experience: 8+ years in a technical RevOps or GTM Engineering role, preferably within a high-velocity B2B or B2B2C environment; experience with healthcare, benefits, or provider referral channels is a plus.
- An Architect Mindset: You see logic gates, data schemas, and API endpoints, and you build for the version of Grow's Enterprise business that's 10x its current size.
- Cross-Org Systems Architecture: Experience owning technical architecture that spans multiple teams or motions - setting standards others build against - not just architecting within a single team's scope.
- HubSpot Mastery: Expert-level technical knowledge of HubSpot (Advanced Workflows, Custom Objects, data model design), Grow's core CRM.
- Orchestration Fluency: Expert proficiency in n8n and Workato, and comfort integrating dialing/outreach tools (Aircall, Nooks), call intelligence (Gong), and event data (Segment).
- AI Agent Builder: Proven experience building AI agents and agentic workflows (Claude, OpenAI, or Gemini) that autonomously perform GTM tasks, not just single-step LLM calls, and using enrichment tools like Clay.
- 0-to-1 Systems Builder: Experience standing up net-new systems and data models for a channel or motion that didn't previously exist, not just optimizing an existing one.
- Multi-Stakeholder Data Modeling: Comfort designing CRM data models that represent complex, multi-party relationships (e.g., consultant/employer, or referring physician/patient).
- Data Governance: Experience setting data governance standards - definitions, ownership, quality rules, access controls - as a core part of data strategy, not an afterthought bolted on once a model is live.
- Employment Type: Full Time, Exempt Base Compensation: The base compensation range for this position is:
- Hybrid Commitment: $190,000- $225,000 USD Annually
- This role will be hybrid (onsite from our NYC location three days per week: Tuesday, Wednesday, Thursday ) . The hybrid arrangement will include travel 2–3 times per year (e.g., company and department offsites).
Условия
- Health Benefits : Comprehensive medical, dental, vision, life, and disability coverage.
- Grow for Grow: No cost access to therapy through the Grow platform (available to US employees)
- Financial Wellness : Retirement savings programs and equity opportunities to help you invest in your future.
- Flexible Time Off, Paid Holidays & Winter Break : Flexible time off, company paid holidays (which vary by country), and a full company wide Winter Break to rest and recharge
- Parental Leave : Up to 18 weeks of paid parental leave to support you and your growing family and a new child stipend.
- Mental Health Mornings/Afternoons : Dedicated weekly flexible time for self care, whether that's therapy, exercise, journaling, time with family, or simply taking a break.
- Wellness & Development Stipend : Annual stipend to support your personal wellbeing and professional growth, from fitness and education to books and learning resources.
- Commuter Benefits: Pre tax commuter benefits to support teammates working from one of our hub locations.
- Home Office & Meals : Support for your home workspace plus meal benefits, with offerings tailored to both remote and hub based employees.
- Additional Perks: A variety of wellbeing benefits, including wellness memberships, virtual care, pet insurance discounts (where available), and global travel assistance.
- Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings.
- Use of AI Tools: We use certain AI and automated tools to support recruitment. These tools help our team review applications, organize interviews, detect potential application integrity issues, and maintain interview records; they do not make final hiring decisions.
- Application Review: Ashby's AI-Assisted Application Review helps review application materials against role-specific criteria and may flag potential fraud or integrity issues for recruiter review. All advancement decisions are made by our human recruiting team after independent review. See Ashby's AI Bias Audit Report .
- Interview Recording: We use BrightHire to record interviews, supporting note-taking and consistency across candidates. Learn more . Interviews are confidential; you may ask your interviewer to stop recording anytime, or opt out in advance . Choosing not to be recorded will not, by itself, affect your candidacy.
- AI-Assisted Recruiter Screen: For select roles, BrightHire's AI features may help structure initial recruiter screens and organize interview notes. All responses are reviewed by our recruiting team; no hiring decisions are made by AI alone.
- State-specific notices: Depending on your location, you may have additional rights. Illinois: If AI analyzes a video interview, we'll provide notice, explain how it works and what it evaluates, and obtain consent beforehand. New York City: Where required, we'll provide at least 10 business days’ notice before using an automated employment decision tool and explain how to request an alternative process. Maryland: We do not use facial recognition to create facial templates during interviews unless required notice and written consent are obtained.
- Questions, accommodation requests, requests for an alternative selection process, objections to recording, or concerns about AI use? Contact talentops@. We’re happy to help or offer an alternative way to participate.
Другое
- Build the referral engine: Design and ship the data model and automation logic that convert SDR/AE/AM physician-office outreach into a repeatable, inbound patient-referral engine.
- Re-architect the data model: Redesign the underlying data model powering the PCP referral engine - how physician accounts, outreach activity, and patient referrals relate to each other in HubSpot - to eliminate structural gaps and support scale.
- Connect outreach to referrals: Build the data pipeline linking office-level outreach activity (HubSpot, Gong, Aircall/Nooks) to physicians and the downstream patient referrals they generate.
- Automate intake and routing: Ship automated intake, validation, and routing logic so inbound referrals from physician offices are captured and assigned with zero manual handling.
- Ship attribution: Build the reporting layer that ties SDR/AE/AM outreach investment directly to referral volume and quality.
- Map the journey: Map the end-to-end consultant → employer → employee journey and translate it into a systems and data architecture built from scratch.
- Build the data model: Design and build the staging environment and HubSpot data model representing consultants and employers as distinct, related entities - without conflating them with Grow's existing GTM data model.
- Ship consultant & RFP tooling: Build the workflows and tracking needed to manage consultant relationships and run RFP processes at scale.
- Architect the handoffs: Build the handoff logic from consultant/RFP engagement through to employer sale, so no lead or opportunity is lost between stages.
- Build AI agents, not just workflows: Design and deploy AI agents (built on Claude) that autonomously perform GTM tasks - referral triage, physician-office research, account qualification - rather than workflows that simply call an LLM API.
- Run an experimentation loop: Treat new automations and agent behaviors as experiments - ship fast, measure impact, and iterate or kill based on data, not intuition.
- Sandbox everything: Implement rigorous testing and deployment across n8n, Workato, and HubSpot so no logic goes live unvalidated.
- Document the system: Maintain a technical schema map of the Enterprise GTM systems so the broader team understands the logic behind every automation.
- Own the architecture: Serve as the architecture owner for Grow's GTM systems end-to-end - Provider Experience, PCP, and EAP - setting the technical standards, data model conventions, and integration patterns that the GTM Engineer, Provider Experience builds against, even while your own build focus stays on PCP and EAP.
- Own data governance: Define and enforce data governance standards - field definitions, ownership, quality rules, and access controls - across the PCP and EAP data models so they stay trustworthy and consistent as referral and consultant volume scales.
- Build for resilience: Build monitoring and self-healing automations that alert the team when data syncs fail or logic breaks across Aircall, Nooks, Segment, and HubSpot.
- Shape the future team: Partner with the Head of Revenue Operations to scope the future GTM Systems team structure once PCP and EAP are stood up, including how systems analyst hires and the GTM Engineer, Provider Experience role plug into it.
- Growing the demand side: Increase the number and quality of inbound physician referrals and successful patient intakes flowing into Grow.
- Scaling without linear effort: Deliver a referral engine and EAP systems foundation that let referral and intake volume grow without a proportional increase in manual effort.
- Unifying the architecture: Ensure Provider Experience, PCP, and EAP run on one coherent, consistent GTM systems architecture rather than three disconnected builds.