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We're looking for people who have managed complex technology projects, ideally in healthcare or medical devices. Clinical trial experience and experience working inside pharma partnerships are significant advantages.
Major Duties & Responsibilities
Own end-to-end delivery for assigned programs across pipeline, which may span multiple therapeutic areas, stages of development, and partner-sponsored collaborations.
Manage planning, development, testing, and release of digital protocol features required for clinical and commercial readiness.
Build structured delivery plans covering scope, timelines, risks, and dependencies.
Keep Product, Engineering, QA/RA, Clinical, Medical, Regulatory, CMC, and Therapeutics aligned on requirements, timelines, and deliverables.
Serve as \day-to-day delivery counterpart to pharmaceutical partners: manage joint timelines and deliverables, run partner working groups, and prepare materials for joint steering and governance meetings.
Run cross-team meetings that drive accountability and on-time milestones.
Communicate program status, risks, and mitigation plans to internal leadership and external stakeholders.
Coordinate with external partners, including pharmaceutical partners, CROs, clinical sites, and technology vendors, and manage dependencies where partner decisions affect timelines.
Support preparation of program documentation, training materials, and operational tools.
Ensure delivery processes adhere to QMS and relevant regulatory standards for Software as a Medical Device (SaMD) and clinical studies.

We are looking for a Therapeutics Program Manager to join our multidisciplinary team. This role is ideal for someone with a strong clinical background or deep experience working within clinical, therapeutic, or healthcare environments, whether from medicine, rehabilitation or allied health. The ideal candidate will demonstrate the ability to translate therapeutic interventions into protocols that fit a digitized format, with a product-oriented mindset, strong English writing skills and a commitment to integrative, holistic, and patient-centered approaches to chronic disease management.
Key Responsibilities
Clinical Protocol & Framework Development
Develop, research, and refine therapeutic protocols and care frameworks grounded in evidence-based, integrative, and holistic approaches.
Transform complex, multidisciplinary clinical discussions into concise, actionable treatment pathways.
Digital Translation of Therapeutic Content
Create therapeutic protocols that can integrate into digital therapeutics and product features.
Collaborate with product, design, and engineering teams to ensure clinical accuracy and usability in digital implementations.
Clinical Content Creation
Write and edit high-quality clinical materials, care protocols, and white papers.
Review and synthesize clinical literature with scientific rigor and clarity.
Expert Collaboration
Engage in discussions with physicians, therapists, scientists, and other clinical domain experts.
Capture essential insights and translate them into well-structured, clinically meaningful content.
Research & Literature Analysis
Conduct literature reviews on therapeutic modalities, chronic disease management, integrative care, and rehabilitation sciences.
Assess emerging evidence and incorporate validated insights into therapeutic frameworks.
Holistic & Integrative Perspective
Maintain a systems-level, whole-person viewpoint blending conventional clinical practice with complementary and lifestyle-based interventions.
Stay informed about developments across integrative medicine and digital health.

we are looking for a creative and innovative Product Manager to join our Product team. The ideal candidate will have a strong background in technology, a focus on user experience design, and proven experience in leading cross-functional teams to deliver exceptional products. This role will give you the opportunity to work with talented engineers, designers, and clinical experts to shape the future of our products.
What youll do
Prioritize and manage the development of new features, improvements, and product enhancements.
Partner closely with engineering, design, regulatory, and clinical experts and advisors to ensure successful clinical trials and ongoing product improvements.
Conduct research, gather feedback, and analyze patient data to ensure our products address disease symptoms and patient needs as well as bring the best of care to patients home.
Lead the entire product lifecycle from ideation and requirements gathering to product launch and post-launch performance analysis.

If youre looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what youve been looking for.

What Youll Do
This is a highly autonomous role. You'll work independently, taking full ownership of complex, end-to-end initiatives from initial scoping all the way to production. You'll build and evolve the backend services that power Honeycomb's data platform, enabling reliable, scalable, and efficient data processing across the organization.

Take ownership of complex services and features, working independently to deliver high-quality solutions and use AI coding tools (Claude Code, Copilot, etc.) as a natural accelerant in your daily workflow
Play a key role in refactoring systems to build more robust, scalable, and streamlined services, including deep infrastructure work and modern service architecture leveraging AI-assisted analysis and code generation where it adds real value
Design and build core micro-services, laying the foundation for our product and internal platforms
Collaborate with product managers, architects, and other developers to understand requirements and translate them into technical specifications
Stay current with the rapidly evolving AI tooling landscape proactively evaluating new models, prompting strategies, and AI-assisted workflows that can meaningfully improve how the team builds

We are looking for a Senior Data Science Researcher to join Honeycomb's AI team, the team behind underwriting decisions, quote-time risk scoring, and portfolio analytics.

In this role, you will own entire research directions: framing the problem, deciding what's worth measuring, designing the approach from first principles, and turning
the result into production signal. The work is production-oriented applied research on hard, real-world datasets where standard recipes don't apply and the right method
often has to be invented for the problem.

What You'll Do

- Own open-ended research directions end-to-end - from a vague business question to a deployed, validated signal.
- Work across the team's core research areas - risk modeling, environmental and catastrophe modeling, and behavioral modeling - translating complex real-world processes
into reliable predictive signal.
- Deeply investigate existing production models - understand what they actually learn, where they break, and where the headroom is; identify and ship optimizations
grounded in that understanding.
- Design approaches from first principles when off-the-shelf methods don't fit the data.
- Build rigorous evaluations and own the result in production, not just the notebook.
- Document research clearly so findings are reproducible, auditable, and compound over time.

Required Director, Engineering
Welcome to a highly disruptive, high-velocity "startup within a startup" rewriting the rules of corporate travel. Edge is an AI-powered personal assistant and concierge service built exclusively for the frequent business traveler. We are fusing always-on conversational AI, capable of learning preferences, executing complex bookings, and stacking high-value rewards like hotel loyalty and credit card multipliers, with a seamless handoff to a 24/7 VIP human concierge. We are looking for a visionary, execution-obsessed Director of Engineering to take the helm. This is your opportunity to lead the end-to-end engineering of a bleeding-edge, user-facing AI product on a global scale.
What Youll Do:
Lead the Trajectory from Ground Zero to Global Scale: You will start with a lean, highly focused scope to deeply internalize our business, product, and operational DNA. From there, your growth is driven by your impact. As you prove your success, you will have the potential to scale your scope across a multi-disciplinary organization-with opportunities to also lead data science, model training, mobile, and data domains, while developing a top-tier team of EMs to help you lead your organization.
Own Your Domain End-to-End: You will have absolute E2E ownership over your specific product area and technical domains within. You will be directly accountable for driving critical business metrics like booking volume, conversion rates, and system latency, while maintaining a strategic eye on optimizing our AI inference costs.
Provide Hands-On AI Technical Leadership: Guide the architectural vision and execution of our modern AI stack. You will drive the implementation of LangChain, Nest.js, Vector DBs, and advanced RAG architectures, leveraging open-source LLMs and fine-tuning models to deliver an unmatched user experience.
Drive Cross-Functional Execution: Act as the technical engine collaborating seamlessly across Product, Marketing, and Operations. You will partner with and present to senior executives, ensuring technical roadmaps aggressively align with our disruptive business objectives.
Build a World-Class Culture: Act as a talent magnet. You will recruit, mentor, and retain top-tier engineering and AI talent, fostering a culture of high velocity, intense empathy, and unyielding technical excellence.

We are seeking a AI Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do:
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

We are looking for a talented Data Operations student to join our Data team!
In this role, you will play a vital role in monitoring system performance and ensuring smooth operations. You will be responsible for flagging and solving incidents, prioritizing issues, and collaborating with R&D, Delivery, and Customer Partner teams
The role includes, 2-3 shifts a week, including nights shifts & weekends.
Responsibilities:
Monitor system performance and operations to ensure they meet performance and availability standards.
Flag and solve urgent incidents, escalating complex issues to appropriate teams when necessary.
Prioritize incidents based on urgency and impact, ensuring timely resolution.
Collaborate with R&D, Delivery, and Customer Partner teams to address operational issues and improve processes.
Implement monitoring-related processes, such as on-Call playbooks and reports, to ensure consistency of service level and ensure SLAs are met.
Prepare and provide regular status updates and reports on system performance and incident management.

We are looking for a Forward Deployed Egngineer with a strong performance marketing background to lead the deployment and success of our solution for a small number of enterprise customers.
You will own the full post-sale lifecycle, from implementation through ongoing optimization, working directly with growth, data, and engineering teams at some of the world's leading consumer apps. Your focus is on signal quality, experiment design, and driving measurable impact on paid acquisition performance.
This is a high-ownership role for someone who thinks in terms of ROAS, CPA, and bidding strategy, and can also get deep into data and systems to make it happen. You will be the primary point of contact for your accounts, lead engagements end-to-end, and translate performance data into clear decisions.
Success means turning your customers' best predictive signals into compounding growth on Google and Meta.
Responsibilities:
Performance and experimentation:
Design and structure pilots across Google Ads and Meta, including campaign selection, budget approach, bidding strategy, and success criteria
Evaluate experiment results and iterate based on performance signals
Help customers understand performance drivers, attribution, and how to scale what works
Monitor model and signal performance; identify issues early and intervene
Implementation and signal quality:
Lead end-to-end implementation across a small portfolio of enterprise customers
Adapt solution design and data strategy to each customer's ad tech stack and measurement setup
Ensure strong match rates, data accuracy, and signal reliability across conversion APIs and MMPs
Troubleshoot integration and data issues in collaboration with internal teams
Customer partnership and execution:
Own day-to-day execution across multiple engagements
Lead ongoing customer communication with both technical and senior growth stakeholders
Coordinate across product, engineering, and go-to-market teams
Build long-term trust through reliability and strong outcomes.

About GeoEdge GeoEdge is the global leader in ad security, trusted by hundreds of the world's top ad platforms, publishers, and app developers. Our mission: make the internet safer by stopping malicious, deceptive, and low-quality ads before they ever reach a user. For over a decade, we've protected the integrity of the digital advertising ecosystem with real-time technology that empowers our partners to deliver clean, trustworthy user experiences. The Role Malvertising attackers are already using AI to hide their campaigns. We're building the detection technology that beats them, and we need a leader who can make it the best in the world. As our Head of Security & Research, you'll report directly to the CEO and own GeoEdge's malvertising detection vision, combining deep security research with AI and agentic innovation. You'll lead our security research team, uncover new attack techniques before they reach users, and turn that insight into detection that works in real time at massive scale. You'll build a research agenda that puts GeoEdge on the stage at the world's top security conferences, and partner with Product, R&D, Data Science, Customer Support, and other key functions inside and outside the company to bring it to market. You'll be the security and research voice of GeoEdge for customers, partners, and the wider security community. What You'll Do Set the strategy and roadmap for GeoEdge's malvertising detection and security research Lead, mentor, and grow the security research team Drive AI and agentic innovation in detection, working with R&D and Data Science to turn research into production-grade capabilities Uncover and track emerging malvertising threats, evasion techniques, and attacker campaigns across the ad ecosystem Own detection quality: push for uncompromising precision, coverage, and speed Drive original research and publications, and represent GeoEdge at leading security conferences Partner with Product, R&D, Data Science, Customer Support, and other key functions in the organization and outside of it Report to the CEO and management on research impact, threat landscape, and priorities

We are looking for the next Data Analyst to join our growing team!
If you enjoy working in a dynamic and fast-paced startup environment, this opportunity is perfect for you! Our customers come from a wide range of industries, populating our datasets with extraordinary amounts of rich and diverse data.
Responsibilities:
You will be a part of the Data team and work with a wide range of data sources and types
Be an integral part and improve our data pipeline and the client onboarding process
Be in charge of analyzing complex datasets and translating them into valuable insights.
Work closely with our clients and understand their needs.
Data visualization both for internal and external purposes.
You will take a significant role in the AI model design and creation
Build data analysis infrastructure.

We are looking for a Lead Software Engineer - Innovation Team to join our growing our new engineering innovation team who build our new product offering with our clients!
Our newest product line - a small, fast-moving team operating like a startup inside the company. While our core offering helps customers acquire better users and spend less doing it, Engage turns that intelligence inward: re-activating churned, dormant, and low-value users who are already on our customers' platforms. As a Senior Software Engineer, you'll work directly alongside the team's engineering lead, building the systems that take machine-learning predictions about user behavior and turn them into automated, continuously-learning decisions delivered straight into our customers' DB and CRM tools. This is a role with no narrow lane - you'll touch literally everything: data pipelines, ML and algorithms, applicative backend services, and even the UI. You'll partner closely with a VP Product and senior data scientists in a high-ownership environment where you shape the architecture, ship to production, and see your work drive a brand-new revenue stream for the company.
Responsibilities:
Design and build high-quality, production-grade systems across the entire Engage stack, from large-scale cloud data pipelines, to ML and decisioning services, to applicative backend and customer-facing UI, with an eye for performance, reliability, and easy maintenance.
Own the closed loop end-to-end: turning ML predictions into automated decisions, delivering them into customers' DB and CRM systems, and feeding outcomes back in so the system keeps learning.
Take features from idea to production largely on your own: designing the architecture, shipping it, monitoring it in production, and iterating, with the autonomy (and accountability) that comes with a small team.
Collaborate closely with the team's engineering lead, the VP Product, and senior data scientists to take models and research from prototype to reliable, scaled-up production systems.
Monitor performance and prioritize work by making data-driven decisions.
Participate in code reviews and uphold engineering standards and best practices across the team.

Were looking for a talented AI-native Software Engineer to join our innovative R&D team!
We help our customers acquire better users and spend less doing it - and our core team owns the engine behind it. We turn raw customer data into ad-network conversions, end-to-end: through large-scale ML and data pipelines, event-driven delivery services on AWS, and the UI that ties it together. There's no narrow lane here - you own problems wherever they live in the stack.
We're an AI-native team: we treat AI and agentic tooling as a first-class part of how we build, and it's how a small team credibly owns this much surface area. We're looking for a high-ownership generalist who works this way (or is hungry to), and who thrives in a correctness-critical domain where a bug means real customer ad-spend going the wrong way.
Responsibilities:
Turn raw customer data into ad-network conversions end to end, building across the whole stack: ML and data pipelines, delivery services, and the customer-facing UI.
Take features from idea to production largely on your own, designing, shipping, monitoring, and iterating, using AI and agentic tooling as a force multiplier, and owning your systems in production where mistakes translate directly into customer spend.
Collaborate closely with the team lead, product, and data scientists to take models and ideas from prototype to reliable, scaled-up production.

We are looking for a Senior Data Scientist to lead the design and implementation of next-generation AI solutions for Lifecycle Marketing.
As a senior member of our team, you will shape methodology, guide product direction under uncertainty, and represent us in high-stakes conversations with customers. Youll combine deep expertise in causal inference, reinforcement learning, and experimentation with strong communication skills to drive impact across the company and with our clients.
Responsibilities
Own the design and methodology of data science solutions for lifecycle marketing, with emphasis on causal inference, uplift modeling, and reinforcement learning.
Lead the development of experimentation frameworks (A/B/n tests, variance reduction, policy evaluation).
Research, prototype, and productionize multi-armed bandits and contextual RL approaches for personalization and timing optimization.
Take a strong, opinionated role in brainstorming sessions, guiding decision-making in areas of high uncertainty.
Represent us in front of customers, translating complex modeling decisions into clear business value.
Mentor junior and mid-level team members, raising the technical bar across the team.
Collaborate closely with product managers, engineers, and analysts to align data science strategy with business goals.