Culture Fit

Role Description We are looking for an experienced, data-focused product manager to own data pipelines end-to-end, from raw client submissions through the measures, benchmarks, and performance analytics our customers use every day. You will drive pipeline requirements, release planning and measure production, data quality, and the growing role of AI across all of these areas. This position reports to senior product leadership and will partner closely with the incoming VP of Product Management. You will partner with the Pipeline team, the Analytics team, the Clinical Transformation team, Data Operations, Product Engineering, and the AI/ML engineering team to scale data operations through product management best practices. You will also be a key product owner for the data requirements behind EMR integration workstreams as those programs mature. The successful candidate is equally comfortable discussing hospital admin and claims data, EMR feeds and FHIR resources, measure definitions, benchmark methodology, LLM-assisted analytic workflows, and the commercial impact of data quality. A strong customer focus, a deep respect for clinical accuracy, and an analytic mindset are critical to shaping a roadmap that clients trust. This position is remote within the US, with monthly travel for team meetings and periodic customer visits. What You'll Work On: - The data and content foundation behind growing AI and analytical capabilities. - Data requirements and integration design for partner-driven workstreams. - The ongoing evolution of core measures, benchmarks, and data release pipelines as clinical coverage expands. - Data and content strategy for new clinical data sources as they come online. Responsibilities: - Own the product requirements for data pipelines end-to-end, from ingestion and translation through measures, benchmarks, and derivative statistics. - Own release planning for data product releases cadence, contents, cut-line decisions, and documented quality gates. - Partner with the CCTO's organization and the measure build team to sustain high throughput and prioritization as the measure catalog scales. - Represent the data layer in EMR integration design and requirements work translator specs, ingestion patterns, BEI alignment, match-rate SLAs, and Knowledge Network updates. - Own the quality roadmap for the measure production process, partnering with engineering to define and evolve data quality gates, validation standards, and release acceptance criteria. - Partner with the AI/ML engineering team to identify, prioritize, and evaluate AI applications in measure authoring, validation, and data quality work, with a clear point of view on where AI creates durable value and where human-curated analytics must remain authoritative. - Translate customer, commercial, and Clinical Transformation team signal into a prioritized roadmap of pipeline and measure production improvements. - Collaborate with the Clinical Transformation team, commercial, and marketing to evangelize data capabilities to prospects and existing clients. - Contribute to roadmap driven OKRs, track progress against targets, and report to the senior leadership team. Qualifications - 5+ years of product management experience, with at least 2 years owning data, pipeline, or platform products in a regulated domain (healthcare, clinical research, financial services, or similar). - Direct, hands-on experience with hospital administrative and claims data. You have shipped products against this data, you understand its quirks, and you can reason about it without an interpreter. - Experience with EMR integration and healthcare interoperability, including HL7 v2, FHIR, and CDA, and working familiarity with common EHR vendors such as Epic, Oracle Health/Cerner. - Demonstrated experience shipping AI or ML product capabilities, ideally including LLM-assisted work against structured domain data (schema-conforming generation, structured extraction, validation, or similar), with a clear understanding of their strengths, limitations, and evaluation methods in regulated contexts. - Experience with data quality and validation frameworks, and a clear point of view on how to instrument data pipelines for trust. - Strong fluency in SQL and comfort reasoning about data models, pipelines, and release processes at scale across many tenants and time grains. - Experience operating product management best practices in fast-moving data and engineering environments: requirements intake, prioritization, release planning, and cross-team coordination. - Excellent communication, interpersonal, and analytical skills, including the ability to present clearly and persuasively to customers, partners, colleagues, and senior executives. - Highly structured and well-organized, with the ability to manage multiple concurrent workstreams across clinical, engineering, and commercial stakeholders. - Creative thinker with an entrepreneurial attitude and a bias toward shipping. Preferred Qualifications - Direct experience with cardiovascular clinical registry data (ACC/NCDR, STS, AHA/GWTG, or similar). - Experience building analytic products that serve hospitals, hospital systems, or cardiovascular service lines. - Experience as the first or early product manager on a small, high-ownership product team. - Experience developing or contributing to market expansion plans (new clinical domains, new customer segments, or new geographies), with a point of view on how data and measure strategy unlocks entry.

Role Description We are seeking a results-driven Marketing Manager to lead integrated, multi-channel marketing programs that accelerate brand awareness, demand generation, pipeline growth, and revenue. This is a hands-on, highly visible role that partners closely with Sales, Product, and Executive leadership. The ideal candidate is both strategic and execution-focused—someone who can build programs from the ground up, optimize performance through data, and thrive in a fast-growing B2B technology environment. Responsibilities - Marketing Strategy & Campaigns: - Own and execute integrated marketing campaigns aligned with revenue and pipeline goals - Manage multi-channel programs across email, paid media, social, content, events, and web - Align closely with Sales on messaging, personas, and lead management - Support internal and external communications, thought leadership, and brand visibility - Demand Generation & ABM: - Lead Account-Based Marketing (ABM) programs for priority accounts - Drive lead generation through email nurtures, webinars, paid campaigns, gated content, and ABM - Optimize conversion rates through A/B testing and continuous improvement - Track and report on MQLs, SQLs, pipeline contribution, and ROI - Content, Digital & Brand: - Oversee creation of content including blogs, case studies, whitepapers, landing pages, and sales assets - Ensure consistent brand messaging across all channels - Manage website updates, SEO, CRO, and paid media (search, social, display) - Monitor analytics dashboards and deliver actionable insights - Leverage AI and automation tools to improve speed, scale, and performance - Product, Customer & Field Marketing: - Partner with Product on positioning, messaging, and go-to-market launches - Develop customer stories, testimonials, and advocacy programs - Support retention, upsell, and cross-sell initiatives - Plan and execute trade shows, webinars, customer events, partner programs, and sponsorships - Own event logistics, lead capture, and ROI reporting Qualifications - Bachelor’s degree in Marketing, Communications, Business, or related field - 4–7 years of B2B marketing experience, ideally in technology or networking - Proven success running multi-channel demand generation programs - Experience with events, trade shows, and field marketing - Strong analytical skills and experience with marketing automation and CRM tools (HubSpot, Marketo, Salesforce) - Excellent communication, writing, and project management skills - Ability to think strategically while executing hands-on - Strong cross-functional collaboration skills - Willingness to travel as needed Preferred - Experience with ABM platforms (HubSpot, Demandbase, 6sense) - Background in content marketing or digital performance marketing - Familiarity with Google Analytics, SEM platforms, CMS systems, and design tools Benefits - Breakthrough Technology: Hybrid-fiber networking delivering secure, fiber-grade connectivity over existing infrastructure - Proven Traction: Trusted by military bases, cities, airports, and critical infrastructure worldwide - High-Growth Market: Positioned at the center of the expanding IoT and connectivity ecosystem - Public Company Upside: NASDAQ-listed with strong growth potential - Remote-Friendly Culture: Collaborative, fast-moving team with room to make a real impact - Competitive Benefits: Health, dental, vision, 401(k), life insurance, and professional development

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves owning critical data pipelines end to end, from ingestion through transformation to production delivery, while also helping manage cloud infrastructure and DevOps operations. - Migrate existing PySpark pipelines to Ibis / DuckLake on the Ascend Gen3 platform - Build and maintain disease-state-specific measures pipelines - Build and maintain the cross-tenant benchmarks pipeline - Build and maintain an Echo NLP pipeline that extracts structured data from unstructured echocardiogram narrative text - Work across the full pipeline lifecycle: design, implementation, testing, deployment, and monitoring - Expand test coverage and improve testing harnesses and related infrastructure - Fix noisy and flaky test suites that generate false positives - Add new test types, including browser-based tests and full pipeline validation runs - Help establish a testing culture where tests are meaningful, not ceremonial - Manage Azure cloud infrastructure - Interface with the MSP on business and technical issues - Implement and maintain Infrastructure as Code using Bicep / Terraform - Enforce RBAC and least-privilege access policies - Monitor and optimize cloud costs - Improve and automate data ingestion, movement, and recovery processes - Build toward reliable, rollback-capable release cadences - Reduce manual operational steps - Make data operations more observable and repeatable - Use AI coding tools such as Claude Code, Cursor, or similar in daily workflow - Contribute to an AI-forward engineering culture focused on faster iteration, better code quality, and stronger testing Qualifications - 7+ years of data engineering or platform engineering experience - Deep Python and SQL proficiency - Experience with PySpark - Ideally experience with Ibis or other dataframe abstraction layers - Experience with DuckDB - Experience working at a healthcare SaaS startup - Azure cloud experience, or strong AWS / GCP experience with the ability to ramp quickly - Experience with Kubernetes and Docker - Experience with data quality frameworks such as Great Expectations, dbt tests, or similar - Active, proficient use of AI coding tools in daily work - Self-directed working style with the ability to identify problems and solve them without constant direction Requirements - Healthcare data experience, including clinical registries, HIPAA, or Safe Harbor de-identification - Experience with DuckLake - Experience with Ascend.io or similar pipeline orchestration platforms - Experience collaborating with offshore engineering teams across time zones - Experience with Infrastructure as Code tools such as Terraform, Bicep, or CloudFormation Benefits - Fully remote, US-based role - Small team, high impact - Work that directly affects how hospitals improve patient care - Direct access to the CTO - Influence over architectural decisions

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Senior Mobile Automation Consultant to architect and scale our native mobile automation strategy across iOS and Android platforms. This is a highly autonomous role requiring someone who can define structure, implement best practices, and build a robust automation ecosystem alongside active product development. The ideal candidate brings deep hands-on experience with Appium for native applications, a proven ability to operate independently in fast-moving environments, and recent experience leveraging AI tools to accelerate and modernize test development. Mobile quality is critical to product velocity and customer trust. This role will directly influence release confidence, regression risk, and development speed. By building a scalable, intelligent automation framework and clearly communicating automation health to both engineering and business stakeholders, this consultant will elevate quality from a reactive function to a strategic advantage. - Architect and implement a scalable automation framework for native iOS and Android applications using Appium. - Define automation strategy, coverage standards, and best practices while operating independently and influencing engineering teams. - Build and expand test coverage in parallel with feature development to ensure automation keeps pace with product evolution. - Partner closely with developers to improve testability and reduce regression risk. - Leverage AI-assisted tools to accelerate test creation, improve resilience, and optimize suite maintenance. - Continuously refactor and optimize the test suite to improve execution speed, stability, and reliability. - Integrate automation into CI/CD pipelines to enable fast, high-confidence releases. - Design and maintain business-facing dashboards and reporting that clearly communicate coverage, stability trends, execution performance, and quality KPIs to non-technical stakeholders. Qualifications - 3+ years of test automation experience in native mobile automation specifically utilizing Appium for native iOS and Android. - Proven experience independently designing and scaling automation frameworks in production environments. - Demonstrated ability to create and present business-facing analytics and reporting on test coverage, stability, and performance metrics. - Strong expertise in improving suite reliability, reducing flakiness, and optimizing execution speed. - Excellent communication skills and ability to work autonomously while staying tightly aligned with development teams. Requirements - Experience leveraging AI tools to build, expand, or optimize automated test suites. - Experience optimizing large automation suites for parallel execution and faster feedback cycles. - Experience with cloud-based mobile device platforms (e.g. BrowserStack). - Familiarity with CI/CD tools such as Azure DevOps, Gitlab, GitHub Actions.