---
title: 'Lead Product Manager at Hop'
canonical: 'https://feeny.ai/job/lead-product-manager-hop-new-york-bz4zr7m451bn'
type: 'job'
last_seen: '2026-09-09'
---

# Lead Product Manager at Hop

- **Company:** Hop
- **Location:** New York, NY
- **Work type:** remote
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.lever.co/hophr/847992a6-7a8c-4d64-be51-23fd3506d29e

## Job description

If you're excited about using data science and AI to improve member health outcomes while delivering meaningful value, Smart Care offers a unique opportunity to do both.

Smart Care builds intelligent, personalized solutions that help identify the right opportunities for our members and enable care teams to take the right actions at the right time. The work spans LLMs, causal inference, deep learning, and deep analytical problem-solving to turn complex clinical and behavioral data into actionable insights and scalable solutions.

As the Smart Care Squad Lead and Product Manager, you'll operate at the intersection of product sense, technical acumen, stakeholder leadership, and user-centered solution design—shaping strategy, driving execution, and translating complex healthcare problems into solutions that improve member outcomes and drive measurable business value. If building products that help our members while advancing our organizational goals excites you, we'd love to have you help shape the next chapter of Smart Care.

## What You'll Do

What

- Responsible for timebound delivery of Smart Care solutions to delivery on business value, converging business and technical perspectives to accelerate design decision.
- Create clarity around priorities, expectations, and shared outcomes for the Squad.
- Own the product backlog, facilitate problem solving, scoping, and prioritization, balancing near-term commitments with longer-term value. Run day-to-day planning and ceremonies, and champion Agile practices. Clarify and coordinate dependencies with other teams and stakeholders.
- Collaborate tightly with squad technical captains to create user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to data science, engineering and stakeholder teams.
- Support engineering and data science teams to implement features by clarifying requirements, facilitating technical feasibility discussions, and helping them to understand users and the business needs.
- Facilitate problem solving across teams, factoring in trade-offs between speed, scalability and quality.
- Align delivery plan to adjacent solutions to capture cross-portfolio value
- Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses.
- Collaborate with designers to create UX flows, wireframes and product designs.
- Define, monitor and analyze product performance metrics, identifying opportunities for improvement and optimization.
- Support the establishment and maintenance of release-management frameworks.
- Develop and execute strategies for proactive user support and issue resolution.
- Support business case development and roadmap planning with stakeholders and leadership.

How

- Demonstrate strong executive communication, stakeholder management, and client-facing skills to influence decisions, build alignment, and drive adoption.
- Champion a data-driven, and innovation-focused mindset with a strong commitment to product excellence and continuous improvement.
- Stay current on emerging trends in analytics, data platforms, AI/ML, and digital technologies, and identify opportunities to apply them across lines of business.
- Facilitate continuous improvement in product planning, execution and launch processes.
- Champion Agile methodologies and lean practices in product development.
- Evaluate and introduce new tools, frameworks, and methodologies that improve analytics product delivery, insight generation, and innovation across teams.

## What We Require

Required Qualifications

- 7+ years’ experience in Product Management or Technical Product Management role
- 5+ years’ experience running the day-to-day product execution with Data Science and/or Engineering teams on the ground
- 3+ years’ experience working with SMEs to uncover nuances in ambiguous business problems and operational processes
- 3+ years’ experience with stakeholder management
- 3+ years’ demonstrated ability to drive outcomes in a complex environment
- 2+ years’ experience building capabilities that leverage AI, ML or other advanced analytics

## Preferred Qualifications

- Strong verbal and written communication skills
- Self-starter interested in leveraging new AI tools and technologies to improve productivity and new ways of working
- Excellence in prioritization and aligning senior stakeholders on a unified vision
- Strong Excel/SQL/analytics/Storytelling capability
- Proven track record of managing all aspects of a successful product throughout its lifecycle, especially in taking a product from concept through launch

## About Hop

## Company Overview
- **One-liner**: Hop (HopHR) is a recruitment platform that connects U.S. companies with pre-vetted AI, machine learning, and data science talent from Latin America.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Walnut Creek, California, United States
- **Founded**: 2016
- **Founders**: Nazli Nadem and Arash Sohrabian

## Core Business
- **Primary industry/industries**: Staffing and Recruiting (specialized in AI/ML and data science talent)
- **Target customers**: B2B – startups to Fortune 500 companies seeking technical talent, especially in AI, machine learning, and data engineering
- **Mission or purpose statement**: “Break geographic barriers, giving global talent access to high-paying, future-focused roles” and promote diversity in tech hiring.

## Products & Services
- **Recruitment Platform**: AI-driven matching and vetting platform that evaluates candidates using proprietary technology; only top 1 in 500 talents are selected.
- **Direct Hire**: Full-time placement of pre-vetted engineers (AI/ML, data science, full-stack, MLOps, etc.) with a 16-day selection process.
- **Contract-to-Hire**: Trial period engagements before committing to a full-time offer.
- **Team Augmentation**: On-demand scaling of engineering capacity with LATAM-based talent working in U.S. time zones.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Headcount of 16 employees (+12.5% YoY); talent pool of over 100,000 data science and AI professionals worldwide (including 35,000+ women in tech)
- **Notable Investors/Partners**: No disclosed investors; trusted by startups and Fortune 500 companies; featured in Forbes.
- **Growth Signals**: 80% client return rate; LinkedIn followers growing +10.5% yearly; expanding marketing team (hiring Marketing Manager as of Sep 2024).

## Competitive Advantages
- **LATAM Focus**: Timezone-aligned talent (mostly Latin America) enabling real-time collaboration at lower cost compared to U.S.-based hires.
- **Rigorous Vetting**: Proprietary 16-day evaluation covering technical skills, communication, and cultural fit; only top 1 in 500 candidates pass.
- **Diversity Commitment**: Actively promotes hiring of women and underrepresented groups in tech; over 35,000 women in their talent pool.
- **AI-Powered Matching**: Uses machine learning algorithms and a human-segmented database to surface the best candidates quickly.

## Strategic Focus
- **Geographic Expansion**: Continue breaking barriers by connecting LATAM talent with U.S. companies, with a goal to uplift communities.
- **AI Talent Specialization**: Deepening expertise in generative AI, LLMs, and MLOps to meet growing demand.
- **Scalability**: Offering flexible engagement models (direct hire, contract-to-hire, augmentation) to adapt to client needs.

## Why Work Here
- **Culture**: Rated 4.2/5.0 on employer reviews (Culture: 4.3, Career: 4.3, Compensation: 3.8). Described as “zestful,” encouraging bold initiatives and diversity.
- **Work Mode**: Hybrid workspace – employees engage in a combination of remote and on-site work.
- **Notable Perks**: Focus on professional growth; access to top mentors and training on ethics, work culture, and self-mastery.
- **Engineering Culture**: Emphasis on using AI tools to enhance recruitment, with a tech-forward approach and a small, distributed team (16 people across 6 countries).

## Sources
1. [LinkedIn – Hop](https://linkedin.com/company/hophr)
2. [HopHR About Page](https://hophr.com/about)
3. [HopHR Services Page](https://hophr.com/services)
4. [Built In – HopHR Careers](https://builtin.com/company/hophr)
5. [HopHR Jobs on Lever](https://jobs.lever.co/hophr)

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