---
title: 'Senior Engineering Manager, Tech Lead | COB Product at Machinify'
canonical: 'https://feeny.ai/job/senior-engineering-manager-tech-lead-cob-product-machinify-united-states-1kym24n5ty8q'
type: 'job'
last_seen: '2026-09-16'
---

# Senior Engineering Manager, Tech Lead | COB Product at Machinify

- **Company:** Machinify
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-06-29
- **Last confirmed live:** 2026-09-16
- **Apply:** https://job-boards.greenhouse.io/machinifyinc/jobs/4299195009

## Job description

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

Location: Remote – US Salary Range: $225,000–$260,000 base, plus equity and benefits (MGR level evaluated through our interview process)

## The Role

We're hiring a Technical Senior Engineering Manager to lead the engineering team for Coordination of Benefits (COB). This is a new need as we expand our right payer solutions products! You'll build a scalable, AI-driven, cloud-native solution that transforms how COB is done. Making it faster, more accurate, and more efficient. Our Coordinate product will be core to how we identify overlapping coverage, determine primacy, and recover dollars, ultimately helping reduce the cost of care for millions of members.

You'll be leading the team building this product from the ground up! You will set the technical direction and engineering bar for a new product and a growing team, establishing strong principles from the outset and making sound architectural decisions under genuine ambiguity. You will lead a team of 5–6 engineers that’ll partner closely with product, platform, DS, ML, UX, QA and operations team. This is a great opportunity for someone with high technical ownership to lead a team shaping a product as we build 0-1!

## What You'll Do

Engineering & Team Leadership

- Own the architecture, technical roadmap, and production releases for CORA, holding the team accountable for quality, reliability, and delivery pace
- Stay hands-on through architectural design, code review, and selective coding where it sets the technical bar for the team
- Hire, develop, and retain a team of 5–6 engineers, with deliberate investment in coaching, career growth, and performance management
- Establish the engineering standards, operational practices, and delivery rhythm appropriate to an early-stage greenfield product
- Guide the design of the core rules engine, the claims pipeline, and the AI innovation that moves COB determinations to be more accurate and efficient
- Drive platform decisions for extensibility, scalability, and the security that regulated healthcare data demands as CORA onboards new payers

Cross-Functional & Stakeholder Leadership

- Partner with product, ML, UX, and operations to translate evolving payer and analyst requirements into scoped, sequenced work with measurable targets
- Align stakeholders across teams on priorities, tradeoffs, and timelines, and drive cross-functional decisions cleanly to closure
- Define and report the metrics that demonstrate engineering and product impact to leadership and to partner teams across the company
- Represent the team to executive and customer audiences, presenting results and clear articulation of technical strategy

## What You Bring

- 3+ years of combined technical leadership and engineering management
- 8+ years building production backend services and applications
- Hands-on experience building and operating microservice architectures on containers and orchestration (Docker, Kubernetes) with strong observability
- Proficiency in Java, GoLang, Scala, or Rust
- Proven track record hiring, developing, and managing high-performing engineering teams, including performance management
- Demonstrated success leading cross-functional initiatives and aligning product, ML, and business stakeholders toward shared outcomes
- Excellent communication skills, including translating technical tradeoffs for non-technical audiences and presenting to executives
- Demonstrated ability to drive ambiguous, open-ended problems to closure with measurable outcomes
- Power-user fluency with Claude Code or Codex for planning, building, and debugging non-trivial work
- BS or MS in Computer Science or equivalent

Strongly Preferred

- Experience building greenfield products and establishing engineering standards for a new team
- Experience in healthcare, insurance, finance, or other high-stakes domains where "mostly right" is unacceptable
- Familiarity with claims, payments, or coordination-of-benefits and payment-integrity workflows
- Experience designing high-throughput rules or decisioning engines that evaluate logic against large data volumes in near real time
- Experience operating systems on regulated data (PHI/PII), including the security and compliance controls production healthcare requires
- Experience shipping AI- or ML-driven features in production, including how they are evaluated and earn the business's trust
- Track record defining and owning business-trusted metrics such as precision/recall and dollar-weighted impact
- Experience with lightweight operational practices such as on-call, incident review, and release management

## What We Offer

- Work from anywhere in the US! Machinify is digital-first.
- Top Medical/Dental/Vision offerings
- FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match
- Unlimited PTO
- Additional health and wellness benefits and perks
- Flexible and trusting environment where you’ll feel empowered to do your best work

The salary and level for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.

## Equal Employment Opportunity at Machinify

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

## About Machinify

## Company Overview

- **One-liner**: Machinify uses artificial intelligence (AI) to improve healthcare payment integrity, reducing costs and ensuring accurate claims processing for health plans.
- **Entity Type**: Private (Acq – Fin stage; investors include New Mountain Capital, Matrix Partners, Battery Ventures, GV)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2015 (per CBInsights) or 2016 (per Built In)
- **Founders**: Not publicly available from provided sources

## Core Business

- **Primary industry**: Healthcare IT – Payment Integrity & Analytics
- **Target customers**: B2B, serving health plans (commercial, Medicare, Medicaid) – 85+ customers including 18 of the top 20 health plans
- **Mission/purpose**: “Reshaping healthcare payment through seamless intelligence” – improving performance and affordability for the entire healthcare ecosystem

## Products & Services

- **AI Operating System for Payment Integrity**: A platform that includes foundation models trained on billions of healthcare data points, a unified data layer (claims, medical records, contracts, policies), task‑specific intelligent agents, and feedback loops for continuous improvement.
- **Payment Integrity Solutions**: Products cover the full spectrum of payment integrity interventions (e.g., DRG review, outpatient audit, subrogation, specialty recovery, claims editing). Deployment models include fully insourced, hybrid, or fully managed.

## Market Standing

- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: Total funding $10.68M (latest round: Acq – Fin; investors include New Mountain Capital, Matrix Partners, Battery Ventures, GV, Paycheck Protection Program, and others)
- **Notable Investors/Partners**: New Mountain Capital, Matrix Partners, Battery Ventures, GV (Google Ventures)
- **Growth Signals**:
  - 85+ customers, including 18 of the top 20 health plans
  - Covers 270M member lives across commercial, Medicare, and Medicaid
  - Over $6B in annual cost avoidance and recoveries realized
  - Currently posting ~48 open roles on Greenhouse (as of search date)

## Competitive Advantages

- **AI‑native platform** trained on billions of healthcare data points, combining foundation models, unified data, and task‑specific agents for high‑precision results
- **Deep domain expertise** – the team brings 40+ years of combined experience in healthcare payment accuracy
- **Flexible deployment** (insourced, hybrid, fully managed) adapts to customer strategy
- **Proven scale** (270M member lives, top health plans) demonstrates trust and effectiveness

## Strategic Focus

- **Expanding payment integrity interventions** across the full care continuum (commercial, Medicare, Medicaid)
- **Continuous improvement** through human‑in‑the‑loop feedback loops
- **Investing in AI safety and transparency** while scaling platform capabilities

## Why Work Here

- **Culture**: Values-driven (Think Big, Be Humble, Deliver Results, Ask Why, Optimize for Customer Impact); transparent, collaborative environment
- **Work model**: Fully remote roles available (US‑based), with some roles requiring onsite presence in Palo Alto, La Grange (KY), or Hendersonville (TN). Hybrid schedules are also supported.
- **Technology stack**: Rust, machine learning, large language models, data engineering, cloud processing
- **Career opportunities**: Open positions across Engineering (Rust, Frontend, Backend, Fullstack, Platform), Data Science (NLP, Modeling, Agentic Systems), Product Management, Operations, Clinical & Coding Auditors, and more
- **Perks**: Mission‑driven work with direct impact on healthcare affordability; strong emphasis on accountability and trust

> **Note**: Machinify warns of active hiring scams – legitimate communications always come from official company email addresses and never require payment.

## Sources

1. [machinify.com](https://www.machinify.com/) – Company overview, products, mission
2. [machinify.com/careers](https://www.machinify.com/careers/) – Culture, values, work model
3. [job‑boards.greenhouse.io/machinifyinc](http://job‑boards.greenhouse.io/machinifyinc) – Current job listings (48 roles)
4. [cbinsights.com](https://www.cbinsights.com/company/machinify) – Funding, stage, investors, headquarters, founding year
5. [builtin.com](https://builtin.com/company/machinify) – Office locations, employee count (96), remote/hybrid policy, technology stack

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