You can manage people without turning engineering into a process factory.
You are technically credible enough to understand what your team is building, but you do not need to win every architecture debate.
You are comfortable resolving conflict, giving direct feedback, hiring excellent people and helping senior engineers grow.
If your first answer to an unpredictable team is more ceremonies, more status reporting and more Jira, this is probably not the role.
The Role, In Plain English
You will help run the teams building the user-facing and reasoning layers of Reflexivity.
Initially, your remit will span Reasoning and Build:
- Reasoning generates the answers and artefacts behind Alfred;
- Build owns the persistent user experience where those artefacts are saved, refreshed, composed and used.
The teams already have strong technical people.
Your job is not to replace the Technical Leads.
Your job is to build the people and organisational system around them so the teams can grow without losing speed, quality or accountability.
You will also be an important part of building Reflexivity's engineering organisation in New York.
What You'll Be Responsible For
- Manage, coach and develop engineers across one or more squads.
- Run high-quality 1:1s and maintain continuous follow-through, not just quarterly check-ins.
- Own performance management and career development.
- Give direct feedback early rather than letting issues compound.
- Resolve interpersonal and cross-functional conflict.
- Partner closely with each squad's Technical Lead and Product Manager.
- Recruit excellent engineers and help build the NYC engineering team.
- Understand team capacity and surface people/organisational constraints.
- Remove organisational blockers that prevent the team from executing.
- Own onboarding and the management basics that should not consume senior technical leaders.
- Use data and evidence to understand team performance rather than managing by anecdote.
- Help the VP Engineering build an engineering organisation that can scale toward 75+ people.
- Keep management lightweight enough that engineers can engineer.
What You Do Not Own
The squad Technical Lead owns:
- architecture;
- solution design;
- technical decomposition;
- technical delivery;
- technical quality;
- technical release readiness.
The Product Manager owns:
- customer problem;
- priorities;
- product outcome;
- success metrics.
You should understand and challenge technical decisions when appropriate, but management authority does not make you the technical decision-maker.
What "Good" Looks Like in This RoleAfter 3 months
- You understand Reasoning and Build well enough to manage the people building them.
- Engineers know what you expect from them.
- You have a clear view of team strengths, weaknesses and hiring needs.
- 1:1s, feedback and development plans have consistent follow-through.
- The CTO is receiving fewer routine people/coordination escalations.
- The teams are materially easier to scale.
- Performance issues are dealt with quickly and fairly.
- Strong engineers have visible development paths.
- Product/Engineering conflict is handled at the right level.
- NYC has a stronger engineering nucleus.
- Technical Leads are spending less time on management administration.
- You can run multiple high-performing teams without daily intervention from the VPE or CTO.
- You have hired and developed strong engineers.
- The teams have maintained a high technical bar without becoming process-heavy.
- Your management system scales with the team rather than becoming its bottleneck.
Who You Are — Must-Haves
- Significant software engineering experience.
- Meaningful experience managing software engineers.
- Experience managing senior, opinionated technical people.
- Strong performance-management and coaching skills.
- Experience hiring engineers in a competitive market.
- Comfortable resolving conflict directly.
- Strong written and verbal communication.
- Technically credible across modern production software systems.
- Data-driven and evidence-oriented.
- Experience in a high-growth product organisation.
- Comfortable with ambiguity and changing product requirements.
- Low ego: you do not need to be the technical authority in the room.
Nice-to-Haves
- AI / LLM-enabled products.
- Agent or workflow systems.
- Fintech or institutional finance.
- Developer-heavy or technically complex products.
- Golang / distributed systems.
- Experience building an engineering hub from an early stage.
- Experience across frontend + backend teams.
How We Work
- Engineers own systems end-to-end.
- Every squad has one Technical Lead.
- Product, Technical Lead and Engineering Manager have distinct responsibilities.
- Technical authority and management authority are deliberately separate.
- Clear accountability and direct feedback.
- High trust and high ownership.
- Strong technical culture without unnecessary bureaucracy.
- AI-assisted development is part of normal engineering work.
Compensation & Practicalities
- NYC-based.
- In-office / hybrid expectations aligned with the NYC engineering team.
- Compensation: $200,000 - $250,000
- Equity included.
- No agencies unless explicitly agreed.
Skills Required
- Significant software engineering experience
- Meaningful experience managing software engineers
- Experience managing senior, opinionated technical people
- Strong performance-management and coaching skills
- Experience hiring engineers in a competitive market
- Experience resolving conflict directly
- Strong written and verbal communication skills
- Technical credibility across modern production software systems
- Data-driven and evidence-oriented approach
- Experience in a high-growth product organization
- Comfort with ambiguity and changing product requirements
- Low-ego approach and willingness to separate management authority from technical authority
- Experience with AI or LLM-enabled products
- Experience with agent or workflow systems
- Fintech or institutional finance experience
- Experience with developer-heavy or technically complex products
- Golang or distributed systems experience
- Experience building an engineering hub from an early stage
- Experience across frontend and backend teams
What We Do
We empower organizations and institutions with the capabilities to more effectively identify mental health challenges to ensure patients, team members, and constituents receive the care they need. Toggle offers a new form of artificial intelligence that merges advances in computational cognition with machine learning. We call it Comp Cog AI, and it predicts anxiety, depression, and suicidal planning using a single 3-minute assessment involving images. Its accuracy is cutting-edge against peer-reviewed findings for these three mental health challenges and is immune to manipulation or gaming, ensuring highly repeatable results. Fast, accurate & inexpensive, Toggle’s solution is built on the latest developments in neuroscience and supported by deep academic review and competitive government funding. Example Use Cases: - Rapid & regular screening for Military, Defence and Public Safety personnel - Screen for mental health during every visit to the Emergency Room or Medical Clinic - Triage and best route callers in crisis line and telehealth environments - Regularly assess at-risk groups remotely, triggering outreach where needed - Offer screening to students and the workforce to deliver timely intervention








