2070 Health

DescriptionWe're building a future where every mental health provider can deliver the full spectrum of care, including advanced interventions such as transcranial magnetic stimulation (TMS), SPRAVATO®, and others without the complexity of going it alone. We partner with mental health practices to bring these life-changing treatments to the people who need them most. Our tech-enabled platform embeds the end-to-end infrastructure, technology, and operations directly into existing practices so providers can expand their care, and patients can finally access the treatments they deserve. Everbright is currently partnered with 75+ providers across seven markets and backed by $7M in early-stage venture capital funding. About the RoleWe're seeking a Product Analyst to join our India-based team supporting US operations. This is a research and analysis-focused role ideal for someone with strong analytical skills, healthcare knowledge, and expertise in compliance and regulatory research. You'll conduct in depth healthcare research, analyze market trends, and investigate compliance landscapes to generate insights that inform product strategy and operations. If you have experience in healthcare research, regulatory analysis, or healthcare compliance, this is your opportunity to make a direct impact. You'll work with the product team to conduct market research, analyze healthcare trends, research compliance requirements, and synthesize complex information into actionable insights. The ideal candidate is structured, curious, and research driven a detail oriented operator who thrives on deep analysis, understands healthcare complexity, and excels at turning ambiguity into clear, evidence-based recommendations.

Description We're building a future where every mental health provider can deliver the full spectrum of care, including advanced interventions such as transcranial magnetic stimulation (TMS), SPRAVATO®, and others without the complexity of going it alone. We partner with mental health practices to bring these life-changing treatments to the people who need them most. Our tech-enabled platform embeds the end-to-end infrastructure, technology, and operations directly into existing practices so providers can expand their care, and patients can finally access the treatments they deserve. Everbright is currently partnered with 75+ providers across seven markets and backed by $7M in early-stage venture capital funding. About the Role We're seeking a Product Analyst to join our India-based team supporting US operations. This is a research and analysis-focused role ideal for someone with strong analytical skills, healthcare knowledge, and expertise in compliance and regulatory research. You'll conduct in depth healthcare research, analyze market trends, and investigate compliance landscapes to generate insights that inform product strategy and operations. If you have experience in healthcare research, regulatory analysis, or healthcare compliance, this is your opportunity to make a direct impact. You'll work with the product team to conduct market research, analyze healthcare trends, research compliance requirements, and synthesize complex information into actionable insights. The ideal candidate is structured, curious, and research driven a detail oriented operator who thrives on deep analysis, understands healthcare complexity, and excels at turning ambiguity into clear, evidence-based recommendations.

• You will oversee delivery for all products — scope management, release cadence, quality controls, and stakeholder alignment. • You will own the design and execution of our agentic software development lifecycle: - Define how AI agents participate in coding, testing, code review, and documentation — and where human engineers must intervene. - Build quality gates that catch AI sloppiness. Every AI-generated artifact needs a human verification step calibrated to the risk level. - Determine which agents we use, how they're configured, what guardrails they operate within, and how engineers supervise their output. - Define approved tools, IP protection policies, and ensure AI accelerates development without introducing risk. - Measure what's working, what's failing, and iterate. The playbook doesn't exist yet — you'll write it. • You will directly manage the engineering team — hiring, performance, coaching, feedback, conflict resolution, and retention. • You own the architecture across the full stack: web applications, APIs, infrastructure, and AI integrations. • You will build the release pipeline — CI/CD, environments, quality checkpoints, deployment automation. • You own engineering security: access controls, secrets management, audit trails, and SDLC security. • You will build the engineering team — define roles, maintain hiring standards, run technical interviews, and make hiring calls.

*This is not a role with 2070 Health* Role Title: Head of Engineering Location: Remote across India (~6 hours overlap with US Pacific time) Type: Full-time Reports to: Founder-CEO Compensation: Well above market for Indian startups at this level. We pay for the caliber we're hiring. About the Company Zenara Health builds GenAI-powered clinical decision support and workflow tools for mental health clinics. We integrate AI-driven platforms with professional clinical care to offer personalized and effective mental health solutions — from AI-enhanced evaluations to care coordination — creating a seamless digital experience for both patients and providers. We are an AI-native organization. That's not a marketing label. Our engineering model is fundamentally built around AI agents participating in the software development lifecycle. We are a startup, not a department. About the Role Pay close attention here. If you are an engineering manager who primarily conducts standups and writes status reports, this role may not suit you. We are transitioning from the product stage to the commercial stage — multiple products, real customers, sensitive clinical data. Our engineers are already delivering, and now we need cohesive engineering leadership to transform exceptional individual contributions into collective organizational success. What makes this role different from every other Head of Engineering posting: Our engineering team is small by design. A handful of high-caliber engineers orchestrate AI agents that handle significant portions of the SDLC — from code generation to testing to documentation. Your job is not to manage 20 engineers writing code. Your job is to design, implement, and continuously refine the human-agent engineering model — including maker-checker workflows, quality gates for AI-generated output, and escalation protocols that ensure AI speed doesn't come at the cost of AI sloppiness. This is a relatively new way of working. Very few people have deep experience running agentic SDLC at scale. We're not looking for someone who's done this exact job before — we're looking for someone with the raw intellectual horsepower to figure it out. High learning velocity, first-principles thinking, and comfort with ambiguity matter more than years on a resume. You will report directly to the founder-CEO, take ownership of results, and shape the engineering organization. This is the technical co-leader seat — ultimately becoming the person the founder relies on to own all of engineering. What You Will Own (Everything) 1. Delivery Outcomes You will oversee delivery for all products — scope management, release cadence, quality controls, and stakeholder alignment. If something is delayed, it's your responsibility. If a product ships smoothly, you can claim that success. You'll shield engineers from scope changes and give the CEO predictable delivery rather than last-minute heroics. 2. Agentic SDLC & AI Governance (The Differentiator) This is the core of what makes this role unique. You will own the design and execution of our agentic software development lifecycle: - Human-agent workflow design: Define how AI agents participate in coding, testing, code review, and documentation — and where human engineers must intervene. - Maker-checker patterns: Build quality gates that catch AI sloppiness. Every AI-generated artifact needs a human verification step calibrated to the risk level — a UI tweak needs a different checkpoint than a database migration. - Agent orchestration: Determine which agents we use, how they're configured, what guardrails they operate within, and how engineers supervise their output. - AI tool governance: Define approved tools, IP protection policies, and ensure AI accelerates development without introducing risk — especially given the sensitivity of clinical/PHI data. - Continuous refinement: This model is new. You'll measure what's working, what's failing, and iterate. The playbook doesn't exist yet — you'll write it. If you don't have a strong, opinionated perspective on how AI agents should participate in the engineering process — beyond "we use Copilot" — this role is not for you. 3. Engineering Team You will directly manage the engineering team — hiring, performance, coaching, feedback, conflict resolution, and retention. The team is small and high-leverage; every person matters disproportionately. You'll set the culture and performance bar. Difficult conversations happen early. Engineers will want to work with you because you are fair, direct, and invested in their growth. 4. System Architecture You own the architecture across the full stack: web applications, APIs, infrastructure, and AI integrations. You'll make trade-off calls — speed vs. rigor, refactor vs. ship, infrastructure vs. features. You should be capable of reviewing code, debugging production issues, and challenging architectural decisions with substance. In a clinical data environment, architectural choices carry compliance and safety implications — you'll factor those in. 5. CI/CD and Release Engineering You will build the release pipeline — CI/CD, environments, quality checkpoints, deployment automation. Chaotic releases end. You'll create a system that lets the team (and their agents) ship confidently and on a predictable cadence. 6. Security & Compliance Posture You own engineering security: access controls, secrets management, audit trails, and SDLC security. Healthcare data — especially mental health data — demands this. You'll also ensure AI-generated code and agent workflows meet audit and compliance requirements. Enforce rigor without bureaucracy. 7. Hiring & Team Building You will build the engineering team — define roles, maintain hiring standards, run technical interviews, and make hiring calls. You're building the organization that takes the company from startup to scale. Given our agentic model, you'll also need to think differently about team composition: fewer engineers, higher caliber, optimized for agent supervision rather than raw code output. Your First 90 Days Week 1-2: Immerse yourself. Meet each engineer individually. Understand every product, deployment, and pain point. Map the current human-agent workflows — what's working, what's brittle. Identify delivery risks and the single biggest bottleneck. Build trust through listening, not announcements. Month 1: Establish a regular delivery cadence. Define the release process and quality standards. Create communication rhythms (standups, retros, planning). Audit the current agentic workflows — identify where AI output lacks sufficient human review. Begin surfacing risks early and reliably, relieving the CEO from delivery oversight. Month 2-3: Standardize CI/CD across all products. Implement maker-checker quality gates for AI-generated code. Design the AI governance framework — approved tools, IP protection, PHI safeguards for agent workflows. Initiate architecture assessment with a clear roadmap (not a rewrite). Begin hiring to fill gaps. Build the engineering runbook. Establish feedback and coaching routines. Ongoing: Own engineering completely. Ship reliably. Refine the agentic SDLC continuously. Grow the team. Raise the performance bar. Make the CEO confident that engineering is in expert hands. What Success Looks Like - Engineering consistently delivers — the CEO no longer chases delivery updates. - The agentic SDLC is operational: agents produce, humans verify, AND quality holds. The maker-checker model is documented, measured, and improving. - Release cadence is predictable and accelerating; quality standards are enforced. - Engineers have clear ownership, regular coaching, and unambiguous expectations. - Architectural decisions are documented, reasoned, and account for clinical data sensitivity. - Security and compliance posture is strong — including for AI-generated code and agent workflows. - The hiring pipeline is active — you're building a team optimized for the human-agent model. - AI tools and agents operate within a clear governance framework — speed without risk. - The engineering organization is healthier, faster, and more reliable than when you arrived.

• Act as a central BizOps support partner for US-based leadership and cross-functional teams • Provide ad-hoc analytical, operational, and execution support across departments including Strategy, Operations, Growth, and Clinical Ops • Help design, document, and improve internal processes as the company scales • Conduct market, competitor, and operational research to support strategic initiatives • Build high-quality presentations, leadership decks, and reports for internal and external stakeholders • Translate ambiguous requests into structured analyses and clear, actionable outputs • Support administrative and coordination needs across teams including planning, tracking, and follow-ups • Own internal documentation, trackers, and operational hygiene • Proactively support leadership by ensuring priorities move forward efficiently • Support hiring efforts including candidate research, coordination, and interview logistics • Assist in building foundational people and hiring processes for a growing India team • Coordinate with IT vendors and service providers to support team infrastructure • Manage vendor relationships, contracts, and issue resolution • Support onboarding and offboarding logistics, tools, and access

About Everbright Health: Everbright Health is building a future where every mental health provider can deliver the full spectrum of care, including advanced interventions such as transcranial magnetic stimulation (TMS), SPRAVATO®, and other innovative treatments, without the complexity of going it alone. We partner with mental health practices to embed end-to-end infrastructure, technology, and operations directly into their workflows. This allows providers to expand care offerings while ensuring patients can finally access life-changing treatments. Today, Everbright Health partners with more than 170 providers across seven markets and is backed by $7M in early-stage venture capital funding. We are growing quickly and with purpose. The Role As an Analyst, BizOps Enablement, you will act as a force multiplier for Everbright’s US and India teams. You will support critical business operations, enable smooth execution across functions, and help create structure where it does not yet exist. This is not a narrow analyst role. You will be a builder from day one.

• Engage with leads (inbound and referral-based) and convert them into consultations or follow-up appointments • Maintain structured communication **logs** on CRM systems • Coordinate with **doctors & team **for appointment scheduling and lead updates • Follow up with potential patients to address **queries and build trust** • Explain SSO’s **value proposition** to patients and families professionally • Manage inbound calls from marketing and referral channels

• Own, lead, and ship AI-powered clinical workflows on Azure as both program orchestrator and hands-on full-stack engineer. • This role combines engineering, AI, product, and people leadership to turn complex systems into reliable, observable, cost-efficient workflows while writing production code daily. • The role includes running cross-functional solution sessions, standardizing AI workflow design and implementation on Azure, and driving clarity, velocity, and accountability. • Work directly impacts patient care by improving healthcare providers’ and patients’ experience.

• You will own UI/UX design for our assessment product, our care/practice product, and our platform layer. Create wireframes, prototypes, and high-fidelity designs. • You will rapidly explore, iterate, and validate design ideas using AI tools and prompting—prioritizing speed to usable product over pixel-perfect mockups. Produce "good enough to build" design direction quickly, knowing engineering will iterate and refine in code using AI-assisted development. You'll use AI to accelerate concept generation, variant exploration, and copy iteration, getting to shippable UX in days instead of weeks. • You will define UX hypotheses and evaluate feature adoption using quantitative signals. Partner with product/engineering to design and interpret UX experiments (e.g., A/B tests, phased rollouts). Extract insights from usage data to inform design iteration — not just qualitative feedback, but hard metrics on what actually works. • You will maintain and evolve the Zenara design system. Define components, patterns, and design tokens. Ensure consistency across all products while allowing for product-specific needs. • You will conduct user research and usability testing with real clinical users. Interview psychiatrists, observe workflows, identify pain points, and validate design decisions with actual user feedback. • You will design for healthcare users: clinicians who need speed, patients who need warmth, admins who need clarity. Understand clinical workflows deeply enough to design interfaces that support them naturally. • You will design for accessibility (WCAG compliance) and responsive layouts. Ensure interfaces work for users with disabilities and across different devices and screen sizes. • You will collaborate closely with Product (strategic direction) and Engineering (implementation) on sprint deliverables. Balance design ideals with engineering constraints. Ensure designs are implementable and shipped on time. Work in rapid iteration cycles where engineering often refines and improves designs in-code. • You will design AI-powered interaction patterns — chat interfaces, AI-generated content displays, recommendations, and automated workflows. Make AI features feel natural and trustworthy to clinical users.

About the Company 2070 Health is India's first healthcare-focused venture studio – an innovation platform that builds transformative healthcare companies in India and USA from scratch, by identifying disruptive opportunities in whitespace. We are deeply involved in idea generation, day-to-day operations, and strategic decisions of every company we build. Portfolio companies include Everbright Health, Reveal Healthtech, Elevate Now, Nivaan Care, BabyMD, and Everhope Oncology.   About the Role This role is part of a new company we are actively incubating in the US care navigation space. This is a chance to be on the ground floor of something being built from scratch. As a Patient Navigator (RN), you'll work directly with patients facing serious, complex illnesses – cancer, congestive heart failure, COPD, chronic kidney disease, dementia, helping them understand their diagnosis, navigate treatment decisions and coordinate care across specialists. You'll work under the general supervision of a billing practitioner, and your work will be reimbursed through Medicare's Principal Illness Navigation (PIN) codes (G0023/G0024). Translation: this is a sustainable, reimbursable model that pays for exactly the kind of clinical coordination patients with serious illnesses desperately need. What You'll Do - Build trusting relationships with patients and families facing serious, life-altering diagnoses - Conduct comprehensive assessments to understand the patient's clinical status, treatment goals, and barriers to care - Educate patients on their disease, treatment options, side effects, warning signs, and when to escalate concerns - Prepare patients for appointments with specialists – what questions to ask, what to expect, how to advocate for themselves - Facilitate informed decision-making about treatment options, clinical trials, palliative care, and advance care planning - Track treatment adherence, identify gaps in care, and intervene before problems escalate - Provide emotional support and help patients cope with the psychological burden of serious illness - Coordinate across the care team – oncologists, cardiologists, PCPs, specialists, pharmacies, home health, social workers - Schedule appointments, manage referrals, and ensure smooth care transitions (hospital to home, specialist to PCP) - Monitor treatment plans and medication regimens, flagging issues to the billing practitioner - Document your navigation activities with precision (time spent, activities performed, clinical assessments) so we can bill Medicare and sustain the program This role is remote-first.