Job Title: Tech Lead Manager - (1 Opening)
Job Location: Reflexivity, 589 5th Avenue, Ste. 606A, New York, NY 10017
Employer: Reflexivity
Job Duties: The Tech Lead Manager oversees technical direction and project execution within the
engineering team. They combine strong hands-on software expertise with effective cross-functional
collaboration, leading and mentoring engineers to deliver high-quality outcomes.
Responsibilities:
1. Set technical objectives and priorities aligned with company goals and roadmap.
2. Partner with Product, Design, and stakeholders to define requirements, timelines, and
deliverables.
3. Own architecture and implementation to ensure scalability, reliability, and performance.
4. Run code reviews and enforce engineering best practices.
5. Reduce technical debt and improve development processes.
6. Track industry trends and recommend adoption where relevant.
7. Build a culture of collaboration, innovation, and continuous learning.
8. Communicate technical concepts clearly to non-technical stakeholders.
Tech stack: Go, Python, TypeScript, Node.js, PostgreSQL, ORMs, Redis, Elasticsearch, S3/object storage,
REST APIs, gRPC, AWS/GCP, Docker, Kubernetes.
Minimum Education Required: Bachelor’s degree in Software Development, Computer Science,
Software Engineering, a closely related field, or a foreign degree equivalent.
Minimum Employment Experience Required: 5 years of experience in the job offered, or similar
software engineering position owning AI data workflows from raw ingestion through production-level
models.
Skillset requirements: 5 years owning AI data workflows from raw data ingestion through production-
level models, including building and managing data-heavy systems used for AI or advanced analytics,
must also include the following:
1. 4 years of experience at fintech startups within the investment space.
2. 3 years of experience leading teams to build core software products while staying technical,
including buy-side or market data platforms.
3. 1 year with AI coding assistants (Cursor, Claude Code, or similar)
4. Experience with Golang or Python
5. Experience with LLM systems, reasoning engines, or knowledge graphs.
Hours: 9:00 a.m. – 5:00 p.m., 40 hours per week, Monday to Friday
Salary: $193,461 to $205,000 per year
Skills Required
- Bachelor's degree in Software Development, Computer Science, Software Engineering, a closely related field, or foreign equivalent
- 5 years of experience in the offered role or a similar software engineering position
- 5 years owning AI data workflows from raw data ingestion through production-level models
- Experience building and managing data-heavy systems for AI or advanced analytics
- 4 years of experience at fintech startups within the investment space
- 3 years leading teams to build core software products while remaining technical
- Experience with buy-side or market data platforms
- 1 year of experience with AI coding assistants such as Cursor or Claude Code
- Experience with Golang or Python
- Experience with LLM systems, reasoning engines, or knowledge graphs
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
