Friday, August 1, 2025
Senior Project Manager, Data (Hi Marley -- An Underscore VC Portfolio Company)
Underscore VC
Location
Hybrid
Job Type
Full-Time

At Hi Marley, we’re not just a technology company—we’re on a mission to revolutionize the insurance industry with our conversational platform that makes communication simple, efficient, and delightful. Built for carriers, powered by SMS, and designed by insurance experts, Hi Marley connects people through seamless, friendly conversations that save time, money, and hassle. Our platform helps insurance carriers strengthen customer relationships while streamlining operations. With a focus on collaboration, coaching, and powerful analytics, we deliver the insights insurance teams need when they need them—creating a smooth, frictionless experience for customers along the way.

We are seeking a strategic and technically-minded Senior Product Manager to lead our Data & Analytics initiatives. You will own the product vision for insights and data across the Hi Marley platform—ensuring accuracy, surfacing actionable insights, and delivering meaningful data experiences that support intelligent, unified communication in insurance. 

This role sits within our Platform Team and collaborates closely with Engineering, Analytics, Customer Success, and Go-to-Market teams. You’ll partner across the business to turn raw data into tools our customers and teammates love and trust—spanning infrastructure, insights, and governance. 

Teamwork and shared enthusiasm is a core part of our culture, which is why this role involves joining us in the Boston office for two days each week. 

What You’ll Do 

  • Own the Data Product Strategy: Define and execute the roadmap for Hi Marley’s internal and external data products—anchored in company and customer goals.
  • Deliver Customer-Facing Insights: Lead the creation of dashboards and embedded analytics experiences that drive clarity and action across insurance workflows.
  • Define & Prioritize Instrumentation: Collaborate with Product and Engineering teams to define, prioritize, and validate event tracking, product usage metrics, and other behavioral signals that support product decision-making.
  • Ensure Data Accuracy & Completeness: Champion data trust by working with Analytics and Engineering to validate models, ensure reliable pipelines, and enable self-service access to trusted data.
  • Support Business Intelligence & Internal Storytelling: Help stakeholders across the company turn data into decisions by designing intuitive metrics, scalable reporting, and proactive insights.
  • Guide Infrastructure Investment: Work closely with Data Engineering to prioritize investments in pipelines, orchestration, and modeling that balance long-term scalability with near-term business needs.
  • Drive Platform Collaboration: Act as a connective tissue between technical depth and product usability—bringing strong product thinking to internal platform tradeoffs and foundational data systems.
  • Uphold Data Privacy & Governance: Partner with security, compliance, and legal teams to shape policies around data retention, secure delivery, access controls, and regulatory requirements.
  • Collaborate Across Functions: Influence cross-functional priorities and bring together Engineering, Product, Compliance, Analytics, and Customer Success around a shared platform vision.
  • Leverage AI to Add Value: Work with internal AI and product teams to enrich our insights with predictive and conversational intelligence. 

What We’re Looking For 

  • 6+ years of Product Management experience, with a strong focus on data, analytics, or internal platform products
  • Proven ability to lead cross-functional product teams and collaborate across engineering, analytics, and compliance functions
  • Strong technical fluency—you understand data models, pipelines, orchestration, and can guide architectural tradeoffs
  • Experience delivering data products in B2B SaaS, ideally within a regulated industry
  • Familiarity with BI platforms such as Looker, Tableau, Power BI, or AWS Quicksight
  • A track record of simplifying complex data into intuitive and actionable experiences for customers and internal stakeholders
  • Comfort with data governance and lifecycle policies, including privacy, access management, and compliance standards
  • Ability to shape and influence long-term platform direction—not just reporting features 

Who We Are:
Hi Marley has three core values that are the foundation of our company culture, which every employee embodies: 

  • Max Courage - we encourage our team, our customers, and their customers to dream big, try new ideas and maximize impact by measuring risk.
  • Be Humble – we lead with appreciation and promote a culture of humility, compassion and openness to learn from anyone, anywhere.
  • Ubuntu “I am because we are” - we believe true success is much bigger than any single individual or company.  By aligning our individual aims behind a shared purpose we can achieve our fullest potential, together.

Benefits and Perks:
On top of an exciting, supportive and intellectually curious workplace, we provide:

  • Full benefits package for employees working 30+ hours per week, including parental leave, a matching 401k program, and medical, dental, vision, disability, and life insurance.
  • Open vacation policy - we all work hard and take time for ourselves when we need it
  • Competitive salary and generous stock options - we all get to own a piece of what we’re building
  • A fun, lively startup culture
  • Core values-based leadership
  • A culture of employee engagement, diversity and inclusion
  • Ample opportunities to learn and take on new responsibilities in a fast-paced, growth-mode startup

Friday, August 1, 2025
Senior Software Engineer (Hi Marley -- An Underscore VC Portfolio Company)
Underscore VC
Location
Hybrid
Job Type
Full-Time

At Hi Marley, we’re not just a technology company—we’re on a mission to revolutionize the insurance industry with our conversational platform that makes communication simple, efficient, and delightful. Built for carriers, powered by SMS, and designed by insurance experts, Hi Marley connects people through seamless, friendly conversations that save time, money, and hassle. Our platform helps insurance carriers strengthen customer relationships while streamlining operations. With a focus on collaboration, coaching, and powerful analytics, we deliver the insights insurance teams need when they need them—creating a smooth, frictionless experience for customers along the way.

As we continue to grow, we are looking for a Senior Software Engineer who has a passion for developing software solutions to join our engineering team. The ideal candidate will have deep experience working in high-volume production environments, designing and building distributed architectures utilizing various cloud services (AWS Lambda/SQS/etc.), web application frameworks (Node/React) and database technologies (MongoDB/DynamoDB/MySQL/etc.). They will be a key member of a small team developing and supporting applications in a microservice architecture of a next-generation communication platform for the insurance industry. Teamwork and shared enthusiasm is a core part of our culture, which is why this role involves joining us in the Boston office for two days each week. 

What You'll Do:

  • Design, develop and collaborate with the team in the implementation of new and improvement of existing functionality within the Hi Marley architecture
  • Assist in solving complex problems and transform them into business solutions
  • Mentor and participate in reviews of other projects, offering valuable feedback
  • Work with the team to develop stories and acceptance criteria
  • Contribute to a highly motivated, positive, high energy work environment
  • Technically own a part of the Hi Marley platform
  • Help drive Marley’s user and developer experience towards the future

What We’re Looking For:

  • Typically has 5+ Years of Software Development Experience. Candidates with more experience are encouraged to apply as well.
  • Track record of successful delivery of high-quality applications and features to production systems
  • Experience with distributed architectures, ideally in the AWS ecosystem
  • Experience with relational and document-oriented databases. Including tuning and scaling
  • Passion for test frameworks, CI/CD pipelines and code management tools
  • Passion for design patterns and refactoring
  • Experience in Node, Typescript, and modern frontend frameworks (React) preferred

At this time, we are only able to consider candidates who are currently authorized to work in the U.S. and will not require sponsorship now or in the future.

Who We Are:
Hi Marley has three core values that are the foundation of our company culture, which every employee embodies: 

  • Max Courage - we encourage our team, our customers, and their customers to dream big, try new ideas and maximize impact by measuring risk.
  • Be Humble – we lead with appreciation and promote a culture of humility, compassion and openness to learn from anyone, anywhere.
  • Ubuntu “I am because we are” - we believe true success is much bigger than any single individual or company.  By aligning our individual aims behind a shared purpose we can achieve our fullest potential, together.

Benefits and Perks:
On top of an exciting, supportive and intellectually curious workplace, we provide:

  • Full benefits package for employees working 30+ hours per week, including parental leave, a matching 401k program, and medical, dental, vision, disability, and life insurance.
  • Open vacation policy - we all work hard and take time for ourselves when we need it
  • Competitive salary and generous stock options - we all get to own a piece of what we’re building
  • A fun, lively startup culture
  • Core values-based leadership
  • A culture of employee engagement, diversity and inclusion
  • Ample opportunities to learn and take on new responsibilities in a fast-paced, growth-mode startup
Friday, August 1, 2025
Senior Data Engineer (HiMarley -- an Underscore VC Portfolio Company)
Underscore VC
Location
Hybrid
Job Type
Full-Time

At Hi Marley, we’re not just a technology company—we’re on a mission to revolutionize the insurance industry with our conversational platform that makes communication simple, efficient, and delightful. Built for carriers, powered by SMS, and designed by insurance experts, Hi Marley connects people through seamless, friendly conversations that save time, money, and hassle. Our platform helps insurance carriers strengthen customer relationships while streamlining operations. With a focus on collaboration, coaching, and powerful analytics, we deliver the insights insurance teams need when they need them—creating a smooth, frictionless experience for customers along the way.

We’re looking for a Senior Data Engineer II to help expand our data engineering capabilities. In this hands-on role, you’ll contribute to the evolution of our data platform—building and improving the systems that power internal analytics and customer-facing intelligence. You’ll collaborate with product, engineering, and analytics teams to ensure data is structured, secure, and ready to support our growth. 

This is an opportunity to join a foundational team and build scalable pipelines, data platform capabilities, and infrastructure that enable trusted insights. Your work will support both operational reporting and product analytics, while contributing to a growing data function. 

Teamwork and shared enthusiasm is a core part of our culture, which is why this role involves joining us in the Boston office for two days each week
 

What You’ll Do:

Platform & Infrastructure 

  • Contribute to Data Platform Evolution – Help build and scale a robust, flexible platform that enables analytics and data-driven experiences across our products.
  • Build Scalable Data Infrastructure – Develop reliable systems to ingest, transform, store, and serve data using batch and near real-time approaches.
  • Deliver Trusted Data Pipelines – Build and maintain resilient, observable pipelines that connect APIs, databases, and event streams across internal and customer-facing use cases.
  • Support Data Quality & Observability – Help advance practices in validation, monitoring, and governance to ensure high-quality and trustworthy data systems. 

Enablement & Collaboration 

  • Partner Across Teams – Work closely with analytics, product, and engineering to ensure data pipelines are structured, governed, and optimized to support key use cases.
  • Contribute to Shared Data Models – Collaborate on well-documented, maintainable data models that meet the needs of multiple teams and stakeholders. 

Team & Technical Growth 

  • Mentor and Contribute to Engineering Culture – Share best practices, contribute to standards, and support a collaborative, high-quality data engineering discipline.
  • Explore and Introduce New Tools – Help evaluate new technologies and contribute to the evolution of our platform as our needs grow. 

What We’re Looking For:

  • Data Engineering Experience – 5+ years of experience building data systems, including hands-on work with data modeling, ETL/ELT pipelines, and SQL performance tuning.
  • Strong AWS Foundation – Familiarity with AWS services including Aurora, S3, Lambda, and Terraform. You know your way around the ecosystem and can apply these tools pragmatically.
  • Modern Data Stack Familiarity – Experience with tools such as Airflow, dbt, and Redshift or Snowflake for transformation and orchestration.
  • Code-First Data Engineering – Comfort writing pipelines and workflows in Python or similar languages. You see data engineering as software engineering.
  • Focus on Security and Governance – Experience working with sensitive data, implementing role-based access control, and ensuring data privacy and auditability.
  • Collaborative Approach – Ability to work closely with cross-functional partners and translate ambiguous problems into clear engineering solutions.
  • Bonus Experience
    • Experience supporting or building analytics platforms for end users or product-facing features.
    • Exposure to streaming or real-time data pipelines.
    • Familiarity with dbt for transformation logic and data modeling. 

At this time, we are only able to consider candidates who are currently authorized to work in the U.S. and will not require sponsorship now or in the future.

Who We Are:
Hi Marley has three core values that are the foundation of our company culture, which every employee embodies: 

  • Max Courage - we encourage our team, our customers, and their customers to dream big, try new ideas and maximize impact by measuring risk.
  • Be Humble – we lead with appreciation and promote a culture of humility, compassion and openness to learn from anyone, anywhere.
  • Ubuntu “I am because we are” - we believe true success is much bigger than any single individual or company.  By aligning our individual aims behind a shared purpose we can achieve our fullest potential, together.

Benefits and Perks:
On top of an exciting, supportive and intellectually curious workplace, we provide:

  • Full benefits package for employees working 30+ hours per week, including parental leave, a matching 401k program, and medical, dental, vision, disability, and life insurance.
  • Open vacation policy - we all work hard and take time for ourselves when we need it
  • Competitive salary and generous stock options - we all get to own a piece of what we’re building
  • A fun, lively startup culture
  • Core values-based leadership
  • A culture of employee engagement, diversity and inclusion
  • Ample opportunities to learn and take on new responsibilities in a fast-paced, growth-mode startup
Friday, August 1, 2025
Principal Data Engineer (HiMarley -- An Underscore VC Portfolio Company)
Underscore VC
Location
Hybrid
Job Type
Full-Time

At Hi Marley, we’re not just a technology company—we’re on a mission to revolutionize the insurance industry with our conversational platform that makes communication simple, efficient, and delightful. Built for carriers, powered by SMS, and designed by insurance experts, Hi Marley connects people through seamless, friendly conversations that save time, money, and hassle. Our platform helps insurance carriers strengthen customer relationships while streamlining operations. With a focus on collaboration, coaching, and powerful analytics, we deliver the insights insurance teams need when they need them—creating a smooth, frictionless experience for customers along the way.

We’re hiring a Principal Data Engineer to serve as the technical lead as we expand our data engineering capabilities. In this hands-on leadership role, you’ll guide the short- and long-term evolution of our data systems—enhancing the infrastructure that powers internal analytics and customer-facing intelligence. You’ll collaborate across product, engineering, and analytics teams to ensure data is structured, secure, and ready to support our continued growth.

As an early technical leader, you’ll build scalable pipelines, platform capabilities, and infrastructure that enable trusted insights. You’ll also help shape how engineering and analytics collaborate and guide the evolution of the broader data organization.

This is a chance to define how data powers Hi Marley’s products, insights, and decision-making—delivering performance, compliance, and lasting business impact.

Teamwork and shared enthusiasm is a core part of our culture, which is why this role involves joining us in the Boston office for two days each week. 

What You’ll Do:

Platform & Infrastructure

  • Lead Data Platform Strategy and Architecture – Help define and deliver a data platform roadmap that supports near-term needs and long-term scale—enabling insights, innovation, and customer value across our products and analytics ecosystem.
  • Design and Build Scalable Data Infrastructure in AWS – Build robust systems within an AWS environment to ingest, transform, store, and serve data across multi-tenant and single-tenant use cases—balancing flexibility, security, and performance.
  • Deliver Trusted Data Pipelines – Develop reliable and observable pipelines using modern batch and near real-time approaches, connecting internal and external data sources.
  • Champion Data Trust and Visibility – Advance practices in data quality, observability, and governance—ensuring our systems are secure, compliant, auditable, and built to meet customer and regulatory expectations.

Enablement & Collaboration

  • Partner to Enable Insights – Work closely with the analytics and product teams to deliver structured, reliable data pipelines that support a growing ecosystem of dashboards, customer-facing analytics, and research—providing the trusted foundation for downstream insights.

Leadership & Growth

  • Mentor and Influence Engineering Culture – Provide guidance, share knowledge, and lead by example to establish best practices and grow the data engineering function.
  • Shape a Scalable Future – Partner with cross-functional leaders to define and evolve a data platform roadmap that grows with our customers, products, and teams.

What We’re Looking For:

  • Data Engineering Expertise – 7+ years of experience building reliable, performant data systems, including data modeling, ETL/ELT pipelines, and warehouse optimization.
  • Scaled Platform Leadership – Experience growing data infrastructure through stages of scale—whether maturing internal systems, guiding platform modernization, or supporting enterprise-level requirements through times of growth.
  • Deep Experience with AWS – Proven track record designing, building, and operating data systems in AWS (e.g., Redshift, S3, Glue, Lambda, IAM, etc.) and optimizing performance, security, and cost in cloud-native architectures.
  • Proficiency with Modern Tools – Comfortable with SQL and Python (or similar languages), and hands-on experience with tools like dbt, Airflow, Redshift, Snowflake, or other cloud-native data platforms.
  • Trust, Security & Governance Focus – Experience designing systems with built-in privacy, access controls, and governance. Familiarity with secure data handling, regulatory compliance, and data classification in multi-tenant or regulated environments.
  • Collaborative and Strategic Mindset – Ability to work across product, engineering, and analytics teams to shape systems that deliver long-term value.
  • Customer-Facing Data Enablement – Bonus: Experience designing backend systems that power customer-facing analytics or data-driven product features.
  • Supportive Leadership Style – A mentoring mindset and enthusiasm for helping others grow while building a collaborative, inclusive culture.

At this time, we are only able to consider candidates who are currently authorized to work in the U.S. and will not require sponsorship now or in the future.

Who We Are:
Hi Marley has three core values that are the foundation of our company culture, which every employee embodies: 

  • Max Courage - we encourage our team, our customers, and their customers to dream big, try new ideas and maximize impact by measuring risk.
  • Be Humble – we lead with appreciation and promote a culture of humility, compassion and openness to learn from anyone, anywhere.
  • Ubuntu “I am because we are” - we believe true success is much bigger than any single individual or company.  By aligning our individual aims behind a shared purpose we can achieve our fullest potential, together.

Benefits and Perks:
On top of an exciting, supportive and intellectually curious workplace, we provide:

  • Full benefits package for employees working 30+ hours per week, including parental leave, a matching 401k program, and medical, dental, vision, disability, and life insurance.
  • Open vacation policy - we all work hard and take time for ourselves when we need it
  • Competitive salary and generous stock options - we all get to own a piece of what we’re building
  • A fun, lively startup culture
  • Core values-based leadership
  • A culture of employee engagement, diversity and inclusion
  • Ample opportunities to learn and take on new responsibilities in a fast-paced, growth-mode startup
Friday, August 1, 2025
R&D Engineer
Skyline Nav AI
Location
Boston, MA
Job Type
Full-Time

Description: Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated and hungry recent graduates (Bachelor's/Master's/PhD's) who are passionate about computer vision, robotics and AI to join our team.

As a R&D Engineer, you will be responsible for developing and productionizing computer vision algorithms and machine learning models to help our technology achieve high-accuracy visual navigation. This includes developing new algorithms, as well as optimizing existing methods for real-time use on edge-devices.

Requirements:

1. Candidate must be a US citizen, eligible for US Department of Defense Security Clearance

2. B.S./M.S./Ph.D. degree in Computer Science, Electrical Engineering or related field

3. Strong programming skills in Python and C++

4. Proficient working with computer vision and machine learning concepts

5. Ability to work in fast-paced dynamic startup environment

Preferred:

- Experience with visual navigation or similar technologies

- Knowledge of drones and autonomous vehicle systems

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying. 

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.

Friday, July 25, 2025
Passionate Computer Science students for Full-Time Positions - Koral (an Underscore VC Portfolio company)
Underscore VC
Location
Cambridge, MA
Job Type
Full-Time

About Korl

Korl uses AI to automatically generate personalized, customer-specific presentations for critical business moments like QBRs (Quarterly Business reviews) and renewals. We're solving a real pain point by helping companies showcase their value to customers through data-driven, tailored content instead of generic templates. Our platform connects to tools like Salesforce, Jira, and Figma to build a holistic view of products and customers, then uses AI to craft compelling narratives.

Who We're Looking For

We're looking to hire passionate Computer Science students for full-time positions. We're seeking builders who are excited about:

  • Designing and building scalable distributed systems and APIs.

  • Working with cutting-edge AI/ML technologies (LLMs, agentic workflows).

  • Tackling complex data integration and transformation challenges.

  • Creating products that have an immediate, visible impact on customers.

 

What You'll Work On

We all contribute directly to core infrastructure and AI projects. Some of the more important projects and technologies:

  • Centralized Data Access Service (CDAS): Build our unified data layer using Google Cloud Run, gRPC, and Protocol Buffers. You'll tackle challenging problems in schema versioning and data transformation, and create elegant abstractions for complex data models that serve as the backbone of our entire platform.

  • Integration Platform: Design the systems that rapidly connect to external services (Salesforce, HubSpot, etc.) and normalize their data. This is a crucial, high-impact project for generating customer-specific insights at scale.

  • AI-Powered Presentation Generation: Work with Large Language Models (LLMs) and agentic AI systems to automatically create tailored content. You'll handle large-scale data processing and build intelligent workflows that know precisely when to leverage AI versus when to rely on deterministic logic.

 

Why Join Korl?

  • High-Impact Work: Work directly with experienced engineers on production systems serving real customers.

  • Ship Fast: See your code ship quickly and make an immediate impact.

  • Modern Tech Stack: Gain deep experience with Python, gRPC, Google Cloud, LLMs, and distributed systems.

  • Small Team, Big Voice: Join a small, agile environment where your ideas and contributions truly matter.

Interesting Problems: Tackle fascinating challenges at the intersection of AI, data engineering, and product development.

Contact sumeet@korl.co if interested

Thursday, July 24, 2025
Founding Engineer (Brace Health - Underscore VC Portfolio Company)
Underscore VC
Location
Boston, MA
Job Type
Full-Time

 

 

Founding Software Engineer | Brace Health

Location: Cambridge, MA (In-person) Job Type: Full-Time

We’re building a new financial infrastructure of healthcare—reimagining how patients access coverage and how providers get paid. Our goal: reduce the cost of healthcare with purpose-built AI agents that streamline the billing maze so clinics can invest in care, not paperwork.

We’ve raised ~$4M from Bessemer Venture Partners (backers of Shopify, LinkedIn, and Toast), grown 10x in the last 60 days, and built a 6+ month customer waitlist with no sales/marketing.

We're now assembling a world-class founding engineering team. You’ll work alongside a technical founding team with backgrounds at Microsoft, Amazon, Meta, and Bain, and help shape the systems that power the future of healthcare.

What will you do:

Core Systems Development: Build vertically integrated infrastructure that automates medical billing from end to end. Own mission-critical backend systems using Rust, Python, Kubernetes.

AI-Driven Automation: Design and deploy production AI/ML systems that navigate complex payer rules and workflows. Work across LLMs, traditional ML, and multi-agent architectures.

End-to-End Product Ownership: Build beautiful, high-performance frontend experiences with React, Remix, TypeScript. Collaborate directly with users to ship fast and improve constantly.

Infrastructure & Reliability: Design for resilience, scale, and performance. Own our deployment stack across AWS, Kubernetes, and modern observability tools.

Team & Culture: Join a small, elite team with high ownership. Help shape engineering culture, mentor peers, and lay the technical foundation for a category-defining company.

 

Who you are:

● A builder. You’ve owned and shipped complex systems in production, and you like to move fast without breaking things.

Mission-driven. You care about building tools that improve people’s lives—and you’re energized by the chance to fix healthcare’s most painful problems.

● Gritty and curious. You learn quickly, ask good questions, and keep pushing until things work.

 

Our Stack:

Rust for backend services: safe, fast, and reliable

 

 

React + Remix + TypeScript for delightful user interfaces

Python for AI/ML workflows

AWS + Kubernetes for scalable infrastructure

LLMs from OpenAI, Anthropic, Gemini, and open source

 

Why this matters:

Healthcare is the largest and most essential market in the world—but it’s riddled with complexity and inefficiency. Americans carry over $200B in medical debt, while providers spend $300B+ per year just trying to get reimbursed by insurance. The system is opaque, expensive, and broken—for both patients and doctors.

We believe this can be better. By rebuilding the billing layer with modern software and AI, we can unlock massive value: better access for patients, better economics for clinics, and less waste across the entire system.

Join Us: This is a rare opportunity to help architect foundational infrastructure in a trillion-dollar industry. If you're hungry to solve real problems, move fast, and build something that matters—we want to meet you

Link here to apply & learn more.

Thursday, July 24, 2025
Create Your Own Adventure (Transfyr - Underscore VC Portfolio Company)
Underscore VC
Location
Cambridge, MA
Job Type
Full-Time

Member of the Technical Team - Create your own adventure

 
  • We believe greatness can come from curiosity driven exploration. If you don’t
    find yourself aligned to one of the listed roles, but care about this
    problem, we want to hear from you too.

 
 

Preferences:

  • Degree or experience in fields that may support leveraging AI/ML to make
    experimental science more reproducible, interpretable, and transferable at
    scale.

  • Startup or early-stage experience preferred; comfort with ambiguity and rapid
    iteration is a must.

  • Ideal candidates are located within commuting distance from Cambridge, MA.

Thursday, July 24, 2025
Product (Transfyr - Underscore VC Portfolio Company)
Underscore VC
Location
Cambridge, MA
Job Type
Full-Time

Member of the Technical Team - Product

 

What you’ll accomplish with us:

 
  • Lead qualitative and quantitative research efforts to understand user workflows, pain points, and tacit practices—both in our internal labs and those of our partners.

  • Translate messy, real-world insights into structured requirements that drive product design, system architecture, and AI model development.

  • Develop user personas, journey maps, and usability testing frameworks to inform iterative product development cycles.

  • Bring cross-functional initiatives from concept to delivery. Establish milestones, communication cadences, and decision-making frameworks.

  • Become customer obsessed. Initiate, support, and lead program execution with external partners and collaborators to capture, document, and deliver results.

  • Develop intuitive, usable tools and UIs in partnership with the engineering team to support scientist workflows.

  • Partner with scientists, engineers, and designers to prototype and evaluate interfaces and tools that improve documentation, decision-making, and experimental reproducibility.

  • Help define and implement product standards for usability, accessibility, and cross-platform cohesion across the experimental ecosystem.

  • Identify opportunities to reduce friction in data capture, tacit knowledge transfer, and human-AI collaboration.

  • Support customer deployments by embedding into partner labs, piloting new workflows, troubleshooting edge cases, and capturing lessons learned.

  • Support onboarding and training with customer-embedded scientists to ensure product adoption and feedback loops are tight and actionable.

 

Requirements:

 
  • Experience in human-computer interaction (HCI), cognitive science, UX research, product design, or a related field.

  • Demonstrated ability to turn ideas into functional prototypes. Ability to build quickly, test often, and refine thoughtfully—balancing prototypes with production quality as the company scales.

  • Demonstrated ability to lead user research and synthesize findings into actionable design or product decisions—especially in complex or technical domains.

  • Experience designing or improving tools for expert users, particularly in scientific, technical, or data-intensive environments.

  • Comfort working at the intersection of product, engineering, and domain-specific users (e.g., bench scientists, ML researchers).

  • Excellent communication and storytelling skills—able to advocate for customer needs while navigating technical and strategic constraints.

 

Additional preferences:

 
  • Experience in a scientific or research-intensive environment—academic labs, biotech R&D, national labs, or similar.

  • Familiarity with experimental workflows, lab automation, or scientific instrumentation.

  • Experience building AI/ML-powered products from ideation to deployment.

  • Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must.

  • Ability to clearly communicate technical concepts to cross-functional teams and collaborate on projects spanning AI, biology, and product.

  • Ideal candidates are located within commuting distance from Cambridge, MA.

Thursday, July 24, 2025
Biomedical Scientist
Underscore VC
Location
Cambridge, MA
Job Type
Full-Time

Member of the Technical Team - Biomedical Scientist

 

What you’ll accomplish with us:

 
  • Design, execute, and optimize experimental protocols across molecular and cellular biology domains with a focus on reproducibility and transferability and integration with AI ML models.

  • Partner with our AI/ML and software teams to generate high-quality, structured data from experimental workflows—including edge cases and failure modes—that inform product design.

  • Identify critical variables and hidden steps in experimental workflows, documenting processes in a way that enables robust handoff to humans and machines alike.

  • Collaborate with internal R&D teams to scale and stress-test protocols across different lab environments, automation platforms, and execution conditions.

  • Support customer deployments by embedding into partner labs, piloting new workflows, troubleshooting edge cases, and capturing lessons learned.

  • Act as a bridge between the field and our product/engineering teams, articulating real-world constraints and needs to shape the development of tools and infrastructure.

  • Develop and maintain experimental benchmarking frameworks to validate reproducibility, accuracy, and scalability across lab settings.

  • Play a key role in shaping how we operationalize the capture of tacit biological know-how—from protocol intent to executional nuance.

  • Become customer obsessed. Initiate, support, and lead program execution with external partners and collaborators to capture, document, and deliver results.

  • Stay on top of the latest research in biomedicine and life sciences with an eye to integrate ML/AI and evaluate its applicability to our platform. We will support opportunities to publish or present where appropriate to establish technical leadership.

 

Requirements:

 
  • PhD or advanced degree in Molecular Biology, Bioengineering, Computational Biology, or a related field.

  • Demonstrated hands-on lab experience (industry or academic) with modern wet lab techniques including cell culture, protein engineering, and/or automation.

  • Familiarity with digital lab tools (e.g., ELNs, LIMS, lab automation systems) and a desire to improve scientific workflows.

  • Exceptional experimental design skills with a strong bias toward documentation, reproducibility, and iteration.

  • Ability to troubleshoot protocols systematically, with attention to both technical detail and human variability.

  • Ability to clearly communicate technical concepts to cross-functional teams and collaborate on projects spanning AI, biology, and product.

  • Located within commuting distance from Cambridge, MA.

 

Additional preferences:

 
  • Experience working with or supporting internal lab teams as well as direct customer-facing work in partner or external lab environments.

  • Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must.

  • Demonstrated experience using AI/ML tools in research, whether for experimental design, data analysis, or predictive modeling.