Lead Growth Engineer
Lead the growth engineering team at Sword Health, driving member acquisition and retention through innovative technical solutions.
Posted by employer 1 day ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
Skills & Technologies
What you'll build
- Build and mentor a growth engineering team
- Architect and maintain experimentation infrastructure
- Drive full-funnel engineering initiatives
- Implement event instrumentation and data pipelines
- Champion data-informed decision-making
Must have
- Proven experience building production services at scale
- Deep technical expertise in TypeScript
- Prior leadership experience in growth engineering
- Expertise in experimentation engines and analytics
- Strong business acumen in core growth metrics
- Exceptional communication skills
Nice to have
- Experience with consumer subscription models
- Familiarity with ML-driven personalization
- Experience with Go and cloud infrastructure
AI in the day-to-day
Lead the integration of AI tools across engineering workflows to accelerate build cycles.
Not disclosed in this posting: years of experience, visa sponsorship.
Joblaze summary
In the role of Lead Growth Engineer at Sword Health, the individual will spearhead the technical efforts to enhance member acquisition, retention, and monetization through innovative engineering solutions. Key skills include expertise in TypeScript, experimentation engines, and a strong grasp of growth metrics, alongside leadership experience in high-growth environments. This position is suited for someone with a proven track record in building scalable production services and a solid understanding of AI integration in workflows. The team is focused on transforming healthcare delivery through advanced technology and data-driven decision-making.
Joblaze insights
- Listed today — first seen on Joblaze October 7, 2026. Last confirmed on Sword Health's careers page October 7, 2026.
- Starts above 4% of 276 comparable lead other roles we track (median $145,460 across 91 companies).
Quick facts
- Is the Lead Growth Engineer role remote?
- Yes — Sword Health lists this as a fully remote position.
- What's the salary range?
- Sword Health lists €70,000–€110,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, API design, Automated Testing, TypeScript, event telemetry, full-funnel analytics.
- What seniority level is this role?
- Sword Health targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Lead Growth Engineer role at Sword Health.
From the original posting
At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full.
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Explorer (Level 1) — Uses AI daily to boost personal productivity
As a Lead Growth Engineer at Sword, you’ll build and lead the technical engine responsible for driving member acquisition, activation, retention, and monetization across our D2C. Working closely with leadership across Product, Design, Data, and Marketing, you’ll establish the architecture, tools, and team that turn growth hypotheses into high-impact, measurable product experiences. Your work will span architecting experimentation platforms, optimizing full-funnel consumer journeys, and scaling a high-velocity growth engineering discipline that balances rapid experimentation with rock-solid technical foundations.
What you’ll be doing:
- Build, lead, and mentor a high-performing growth engineering team, setting standards for execution velocity, testing rigor, and code quality;
- Architect, scale, and maintain our experimentation infrastructure, including feature flagging, cohort targeting, dynamic personalization, and multi-armed bandit systems;
- Drive full-funnel engineering initiatives across web and mobile platforms to optimize member acquisition, onboarding completion, subscription conversions, and retention loops;
- Implement trustworthy event instrumentation and data pipelines in partnership with Data Science to ensure accurate attribution, funnel telemetry, and statistically sound experiment results;
- Partner directly with Product, Design, and Marketing leadership to translate business objectives into prioritized technical roadmaps and rapid experimentation cycles;
- Champion a culture of data-informed decision-making, rapid iteration, and pragmatic trade-offs between speed-to-market and long-term system architecture;
- Ensure high system performance, data consistency, and failure recovery across critical growth touchpoints and checkout flows;
- Lead the integration of AI tools across engineering workflows to accelerate build cycles while ensuring security, correctness, and maintainability.
What you need to have:
- Proven experience building and operating production services at scale, with deep technical expertise in TypeScript and modern web/mobile architectures;
- Prior leadership experience hiring, managing, or technically guiding growth engineering teams in high-growth product environments;
- Expertise in experimentation engines, feature flag management, event telemetry, and full-funnel analytics;
- Strong business acumen and fluency in core growth metrics (CAC, LTV, activation velocity, conversion rates, and cohort retention);
- Solid foundations in API design, relational databases, data modeling, asynchronous processing, and automated testing;
- Demonstrated ability to translate commercial goals into pragmatic technical solutions while balancing speed and system durability;
- Exceptional communication and cross-functional leadership skills across executive, technical, and non-technical stakeholders;
- Demonstrated Builder (Level 2) or Integrator (Level 3) AI proficiency, with practical experience embedding AI tools into team workflows;
- Fluent English, written and spoken.
Nice To Have:
- Experience with consumer subscription models, payment integrations, or entitlement architectures at scale;
- Familiarity with ML-driven personalization, recommendation systems, or automated lifecycle messaging platforms;
- Experience with Go, cloud infrastructure (AWS/GCP), and event-driven architectures.
This role can sit remotely and the compensation range will be adjusted to accurately reflect the country in which the candidate resides
*The range below reflects base, variable, and equity for this role.
Standard company text repeated across Sword Health's postings is omitted here.