G- Work from
- Canada, United States
- Contract
- Full-time
- Experience
- Lead
- Salary
- $180K – $200K / year
- Posted
- 11 November 2026
- Apply by
- 10 January 2027
You’ll own the customer support experience end to end, from the moment an issue comes in to the moment the customer confirms it’s fixed. You’ll build and coach a strong team of technical support engineers, and you’ll design AI native systems that get smarter the more they’re used.
Customer Solutions Group | North America
Come help us reimagine GrowthLoop’s technical support function from the ground up.
You’ll report directly to the VP of the Customer Solutions Group and lead the Technical Support function within CSG, working closely with Product and Engineering. This is a hands-on leadership role. You’ll set the direction, and you’ll also dig into the hardest issues yourself, build tooling, and coach your team through the work.
Responsibilities
Build and Lead Technical Support Engineering
- Recruit, develop and lead technical support engineers who can investigate and solve problems independently. Set a high bar for SQL, APIs, debugging and cloud data systems. Stay hands-on in complex cases.
- Build a distributed team, with initial expansion focused on India. Use workload, comparable industry benchmarks and unit economics to recommend staffing, hiring models and sustainable coverage while retaining ownership of quality and customer outcomes.
Build an AI Native Support Organization
- Build AI-assisted intake, triage, investigation and diagnostics connected to approved knowledge, logs, telemetry and authorized customer context. Enable AI agents to manage workflows, maintain knowledge and propose improvements, working toward safe, self-healing support systems.
- Evaluate against real support cases before deployment. Define permissions, privacy controls, human approval for system changes and clear escalation to human incident response. Expand automation when it improves verified resolution, quality and productivity.
Own the End to End Support Experience
- Own intake, prioritization, technical investigation, escalation, resolution and customer communication. Establish clear L1, L2 and Engineering handoffs, and define boundaries with Services, and Customer Architects for implementation and advisory requests. Ensure every issue has a clear owner and customers retain continuity through each handoff.
- Own service levels against customer commitments, including reliable 24/7 critical incident response. Build sustainable on-call rotations across Support and Engineering with clear severity thresholds, escalation paths, handoffs, backup coverage and recovery time after overnight incidents.
- Track response, resolution, SLA attainment and team workload so coverage meets customer needs without depending on any individual’s continuous availability.
Build Knowledge Tooling and Automation
- Overhaul customer documentation and internal knowledge as part of the support system. Manage knowledge sources and runbooks in GitHub, own review and publishing standards, and validate workflows with Product and Engineering before guidance is published.
- Turn investigations into reusable knowledge, diagnostic scripts and tools. Improve visibility into customer workloads, integrations and infrastructure so recurring issues become easier to diagnose or are eliminated. Make documentation and automation part of the team's daily work.
Partner Deeply with Engineering and Product
- Partner with Engineering to establish shared escalation ownership, response expectations and a clear path for stalled issues. Reduce unnecessary Engineering interruptions through independent investigation and reproducible escalations, while maintaining joint accountability for incident response, root cause analysis and permanent fixes.
- Bring support trends by product area into customer and product discussions. Route internal technical questions through a clear support path, validate answers, and partner on reliability, observability, diagnosability and customer self-service.
Requirements
- A proven record of building or transforming technical support, hiring and coaching distributed technical support engineers, and owning customer outcomes end to end while staying active in investigations.
- Hands-on troubleshooting across SQL, APIs, authentication, schemas, data syncs and exports, plus evidence of building diagnostic scripts, tools or automation that improved support.
- Experience designing and evaluating AI-enabled support systems, including grounded answers, permissions, failure analysis and human handoffs. Show what improved and how you controlled risk.
- Experience turning investigations into reliable, version-controlled knowledge and runbooks, with clear review and publishing ownership.
- Strong customer judgment under pressure. Prioritize issues using customer impact, severity and contractual commitments, including when the cause or scope is unclear. Communicate uncertainty honestly, set clear expectations and work across teams to move stalled issues toward resolution.
- Strong judgment in capacity planning, comparable benchmarking and support economics, plus clear customer communication and effective partnership with Engineering, Product and customer-facing teams.
Nice to have
- Experience supporting enterprise data platforms, cloud warehouses or marketing technology, including audience activation and destination integrations.
- Experience scaling an India-based technical team, implementing Knowledge-Centered Service or safely expanding an internal AI assistant into customer-facing support.
Eligibility
About You
- You do not let unresolved customer problems drift.
- You own outcomes, streamline systems, share credit and communicate honestly about uncertainty.
- You are comfortable investigating a ticket, building a tool, improving a runbook and coaching a teammate.
- Our values are Love Our Customer, Make It So, Put We Over Me, Be Human and Aim High.
- We are open to candidates based in Canada or the United States.
Benefits
You will have the opportunity to rebuild and lead GrowthLoop's technical support function, combining engineering talent, AI-native systems and a scalable operating model. You will work closely with technical and customer-facing teams in a culture that values customer outcomes, practical action and shared success.
Total compensation includes equity and additional opportunities for variable compensation.
Final base salary decisions will be based on a variety of non-discriminatory factors unique to each candidate, such as the individual’s skill set, depth of experience, and qualifications.
Flexible, Remote-First Work
- Remote-first culture with team members and leaders across North America and beyond, with strong communities in New York, San Francisco, and Toronto.
- Flexible, goal-based work style.
- Flexible Time off
- Monthly, company-wide Recharge Days to truly unplug
- Annual home office stipend to support your workspace
Comprehensive Benefits
- 100% company-paid medical coverage for individual employees with strong dependent contributions, including dental & vision coverage
- Full health, dental, vision, life, and disability coverage for Canadian employees (fully employer-paid)
- 401(k) or RRSP (Canada) Program with Generous Company Match
Learn and Grow
- Quarterly Hackathons to focus on team passion projects
- Annual professional development stipend
- Work directly with a world-class executive team
- A learners’ mindset culture
GrowthLoop is an Equal Opportunity Employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Salary
The on-target earnings (OTE) range for this role is $180,000–$200,000 USD or $260,000–$280,000 CAD.
About GrowthLoop
GrowthLoop built the first composable CDP, helping marketers leverage live, first-party data from their cloud warehouse to launch highly targeted campaigns. That composable foundation gave way to the Compound Marketing Engine, an evolution of the composable CDP that drives compound growth by using agentic AI to accelerate the marketing cycle.
Now, we’re building what comes next: an agentic system that uses causality data to find the actions that actually improve customer outcomes and gets smarter with every campaign cycle.
Founder-led, we’re partnering with the world’s most innovative brands to close the loop between people, data, and AI. Enterprise marketing teams at Google, Costco, Ford, and Whirlpool (to name a few) choose GrowthLoop to launch smarter, more personalized marketing programs that compound growth with every campaign.
Support helps customers use those capabilities confidently, resolve technical issues, and turn what they learn into repeatable ways of working.
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