About the Role

As the first Product Operations Manager on this team, you’re stepping into a transformative role with the opportunity to help us define & scale our operations motion. Today, we have Product Managers, Engineers, and Customer Success teams handling data entry, quality assurance, analytics, and market intelligence, in order to provide customers with the data they need to save on SaaS costs.

In this role, you’ll own everything to do with our customers’ software spend data. You’ll create the processes needed to ensure that our customers can get a complete, accurate, and up-to-date view of their software spend during their first few weeks with Lumos, and that they have the insights they need to be successful for their lifetime with us. You’ll play a key role in shaping the product operations function at Lumos, helping us scale the team as we gear up for rapid growth.

✨ Your Responsibilities

• Build Scalable Processes: Lumos supports hundreds of customers with their daily spend management activities. You’ll be responsible for identifying + reporting on key KPIs that ensure our customers consistently have a high quality experience using the product, as well as establishing internal process needed to ensure this is the case.
• Lead by Doing: We are a small and scrappy team. Alongside your PM counterpart, you will be responsible for interpreting complex vendor agreements, transcribing their details into our system, and verifying that automatically transcribed agreements are accurate.
• Enable Customers with Data: Develop our internal database of pricing benchmarks & negotiation tips, ensuring that customers are getting the best price on their software renewals. Identify new and novel ways for our customers to save using Lumos data, and work with product & customer success to translate those insights to customer action.
• Influence Product Direction: Build subject matter expertise within the software spend management category, act as a “voice of the customer”, and share insights you’re learning with your engineering, product, and design counterparts. Collaborate with your EPD organization to improve our internal and in-product automation, shape the vision for how we help customers save on SaaS, and build a product that delights customers.

????Pay Range

$100,000 - $170,000. Note that this range is a good faith estimate of likely pay for this role; upon hire, the pay may differ due to skill and/or level of experience.

???? What We Value

We purposefully did not create a standard list of minimum qualifications because we care much more about your motivation, excitement, and potential to grow into the role than about your CV.

Instead of focusing on what people need to have, we focus on what people need to do. Additionally, we try to find out whether you would be a good fit for Lumos based on our values that define how we achieve outcomes and what characteristics we value.

*We encourage you to apply even if you think you might not be perfect fit! ????

Thank you for considering Lumos! ????

We’re seeing very strong adoption with core products, and in order to double down our investment and support accelerating growth, we’re hiring a Staff Product Platform Engineer to join the team. You'd be among the first 100 employees and set the foundation for extreme growth. ????

TheProduct Platform teamplays a critical role in ensuring Lumos executes towards company goals by enabling our product engineering teams to execute more quickly and with higher quality. This team develops the core frameworks and primitives used by engineers across the company, including our human-in-the-loop workflow framework, core user and account data pipeline, and more. Product Platform also invests in external-facing API infrastructure that allows customers to deepen their Lumos usage, as well as a shared frontend platform for product engineers to build consistent user experiences. On this team, you'll be involved in scaling the engineering team and the entire company! ????

✨ Your Responsibilities

• Take ownership of our core architecture and data models. Collaborate closely with other engineers to develop the frameworks and systems used by other teams.
• Design and build robust, scalable systems that enable us to scale our platform to 10x the number of users.
• Drive the infrastructure for our data ingestion pipelines that set the foundation for all products at Lumos.
• Solve challenging engineering problems focused mainly in the backend (Python, Flask), but potentially in other parts of the stack.
• Uplevel your team by setting technical best practices and mentoring engineers.
• Grow the engineering team! Interview candidates and refine our recruiting processes as we rapidly grow.

????Pay Range

$210,000 - $240,000. Note that this range is a good faith estimate of likely pay for this role; upon hire, the pay may differ due to skill and/or level of experience.

???? What We Value

We care much more about your motivation and excitement to grow into the role than we care just about your CV. Instead of focusing on what people need to have, we focus on what people need to do. Additionally, we try to find out whether you would be a good fit for Lumos based on our values that define how we achieve outcomes and what characteristics we value.

We strongly encourage individuals from underrepresented groups to apply. ????

Company Overview:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview:

At Cohere Health our Data & AI Team is focused on using a variety of payer and provider data to automate and augment the prior authorization process. As a leader on the team you have the opportunity to work with complex data and AI solutions in a fast-paced, rapidly-evolving landscape answering critical business and clinical questions.  This role is critical to scaling our data and insights capabilities, empowering teams with actionable insights, and supporting our mission to improve healthcare decision-making.

You will collaborate with cross-functional teams, including product managers, data engineers, data scientists, healthcare analysts, actuaries, clinicians, and business stakeholders, to build and scale data products that support dashboarding, advanced analytics, predictive models, and AI-driven solutions. Your focus will be to ensure our data is timely, meaningful, easy-to-use, and well-governed to create real-world impact.

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do: 

• Provide thought leadership & strategic thinking to design and enablement of Cohere’s enterprise data warehouse, data lakes and datamarts
• Lead our enterprise master data initiatives to ensure single, accurate, and consistent view of key entities like patients and providers, including standard definitions for our clinical and operational needs
• Collaborate with product managers, business and analytic stakeholders to translate business needs to practical and scalable data solutions
• Collaborate with enterprise architects to design and enable scalable, efficient data architectures that can handle large volumes and varieties of data
• Lead a team of data owners who are accountability for the usability, quality, and governance of our enterprise clinical and operational data assets
• Lead a team of analytic data engineers to enrich and curate data from multiple sources in a scalable and cost effective manner
• Partner with legal, security, product and engineering leaders to adopt and implement industry best practices in data security and governance
• Foster a collaborative and innovative culture, set clear goals, and mentor staff
• A forward-thinking mindset to identify opportunities to improve existing infrastructure and adopt new technologies that enhance scalability and performance
• Drive adoption of data products and promote data-driven making culture through training, education, and support for technical and non-technical users

Your background and requirements:

• 10+ years of hands on experience in data engineering and analytics
• 5+ years of experience in leading healthcare data engineering or analytic software development teams
• Bachelor’s or Master’s degree in Computer Science, Engineering or similar
• Deep expertise in translating complex transactional and clinical data into enterprise-grade data products with quantifiable business impact
• Led development initiatives that enable scalable and efficient data architectures that can handle large volumes and varieties of data, including data warehousing and data lakes
• Led program initiatives to drive enterprise data standards, governance and cataloging
• Proven track record in building and scaling data engineering and analytics teams, including recruitment, mentoring, and performance management.
• Experience with cloud providers, including data pipeline technologies (e.g., Spark, Kafka, Glue), analytics platform (e.g., Databricks, Snowflake), data storage technologies (e.g., AWS Redshift, MongoDB), and cost optimization methodologies
• Strong organizational skills to manage multiple projects and deadlines, with experience in agile or scrum methodologies
• Understanding of data security protocols, encryption standards, data privacy and protection regulations, and best practices in access management
• Knowledge in healthcare coding standards (e.g., ICD, CPT, NCD), clinical terminologies and ontologies (e.g., Snomed, UMLS)
• Knowledge in healthcare business operations (preferred)
• Hands-on experience in clinical analytics (preferred)
• Familiarity with business intelligence and AI application product development (preferred)

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

The salary range for this position is $170,000 to $200,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

#LI-Remote

#BI-Remote

WHAT YOU'LL DO

We’re looking for an Engineering Manager to lead our Email team, which is responsible for building and maintaining the core infrastructure that delivers billions of personalized emails a month to our customers’ end users as well as processing all associated reporting data. This includes a highly parallelized platform to personalize & send emails at huge scale, REST APIs to manage/track user subscriptions, web pages to allow end-users to self-manage preferences, and dashboards to configure customer email domains.

As the manager of this team, you’ll work closely with product, design, and the team’s engineers to build new features in response to customer feedback and scale the channel as message volume grows. You will recruit, coach, and develop the team’s engineers. You will help solve major engineering challenges, by guiding key architectural decisions and (in certain high-leverage cases) via the code you write. Finally, you will have broad responsibility for the team’s vision, goals, and processes. We greatly value colleagues who help make us better engineers and are excited, in turn, to learn from us. If that’s you, we’d love to hear from you!

WHO YOU ARE

• 5+ years of software engineering experience with a strong track record of success, with 2+ years leading high performing teams
• Thrive on a high level of autonomy and responsibility, while having the ability to dig into technical details to inform decisions
• Ability to communicate effectively and make hard decisions and tradeoffs
• Experience building foundational systems at scale and spearheading software projects that significantly advanced the goals of your organization
• Bonus:
• Professional experience with any of: Ruby, Rails, MongoDB, PostgreSQL, Redis, Sidekiq, JavaScript, or React

#LI-Remote

Lumos is making it a joy for companies to manage their apps and identities ✨. By integrating usage, spend, compliance, and access data, we provide a level of clarity and insight previously unimaginable. To deliver a best-in-class product, Lumos depends on state-of-the-art data pipelines that power our analytics and AI-driven solutions.

We are seeking a Lead Data Engineer to expand and enhance our existing data infrastructure, built around MySQL, Fivetran, Airbyte, and Snowflake. In this role, you will design and implement production-ready data pipelines with a strong emphasis on reliability, testing, and scalability. Your work will ensure that our AI products and in-product analytics perform flawlessly at scale, driving value for our customers.

✨ Your Responsibilities

• Your mission is to architect, build, and maintain cutting-edge data pipelines that empower our AI products, in-product analytics, and internal reporting.
• You will ensure the scalability, reliability, and quality of our analytics data infrastructure, enabling the seamless integration of usage, spend, compliance, and access data to drive business insights and deliver exceptional value to our customers.
• By focusing on testing, automation, and best-in-class engineering practices, you will play a pivotal role in transforming complex data into actionable intelligence, fueling Lumos' growth and innovation.

???? What We Value

• Extensive experience designing and implementing medallion architectures (bronze, silver, gold layers) or similar data warehouse paradigms. Skilled in optimizing data pipelines for both batch and real-time processing.
• Proficiency in deploying data pipelines using CI/CD tools and integrating automated data quality checks, version control, and deployment automation to ensure reliable and repeatable data processes.
• Expertise in advanced SQL, ETL processes, and data transformation techniques. Strong programming skills in Python.
• Demonstrated ability to work closely with AI engineers, data scientists, product engineers, product managers, and other stakeholders to ensure that data pipelines meet the needs of all teams.

???? Pay Range

• $190,000 - $245,000. Note that this range is a good faith estimate of likely pay for this role; upon hire, the pay may differ due to skill and/or level of experience.

Lumos is on a mission to revolutionize access management by leveraging AI-driven autonomous agents to create a seamless, intelligent authorization system for companies. By integrating access, usage, spend, and compliance data, we are redefining how businesses manage their apps and identities. We are hiring an Applied AI Engineer Tech Lead to take the lead in developing, prototyping, and productionizing AI models that will transform traditional access governance into dynamic, automated processes.

As the AI Tech Lead, you will collaborate with domain experts, our data engineering lead, and cross-functional teams to deliver production-ready AI systems that balance security with productivity. You will be responsible for designing the AI infrastructure, iterating on AI models, and scaling AI-powered access management products to meet business needs.

✨ Your Responsibilities

• Your mission is to design, develop, and deploy cutting-edge AI agents that transform our access management approach, moving from manual, rule-based systems to intelligent, dynamic decision-making.
• Architect and implement a robust, scalable AI infrastructure that ensures the seamless deployment and maintenance of AI-driven authorization agents in production. You’ll focus on tools, platforms, and frameworks that enable high performance, security, and scalability, setting Lumos up for efficient growth.
• Prioritize time-to-value, focusing on accelerating the launch of AI-powered onboarding and policy management products to simplify access for customers and reduce maintenance burdens on administrators.
• Collaborate across teams to align AI initiatives with broader business goals. By working closely with product managers, designers, engineers, and other stakeholders, you’ll ensure AI solutions are effectively integrated into workflows, elevating productivity and enhancing user experience.

???? What We Value

• Proven track record of building and deploying autonomous AI systems or agents for dynamic decision-making in production.
• Proficiency in developing AI infrastructure that can reliably handle large-scale, high-volume data requests. Skilled at selecting tools and frameworks that enable AI scalability, optimize performance, and lower total cost of ownership.
• Strong Python programming and problem-solving skills. Excellence in clean, efficient coding, rapid debugging, and the ability to adapt to evolving requirements.
• Experience working cross-functionally with product managers, designers, and engineers to deliver impactful, customer-centered AI solutions. Skilled in mentoring team members and establishing best practices in AI development, including coding standards, testing protocols, and documentation.

???? Pay Range

• $190,000 - $275,000. Note that this range is a good faith estimate of likely pay for this role; upon hire, the pay may differ due to skill and/or level of experience.

???? More Information on the Role

As our Enterprise Sales Director, East you will be pivotal in driving our sales strategy, building a high-performing sales team, and ensuring that our Enterprise Account Executives consistently meet and exceed their targets. This role is crucial in scaling our revenue and expanding our customer base in the Enterprise segment.

✨ Your Responsibilities

• Pipeline Creation and Management: Develop and implement strategies to ensure AEs build and maintain a robust sales pipeline, achieving 4x pipeline coverage at any given point.
• Sales Process Discipline: Enforce a rigorous sales process where Salesforce notes are up-to-date, all steps are followed before advancing opportunities, and deep discovery is completed.
• Deal Support and Partnership: Be deeply involved in critical deals, acting as a sparring partner for AEs to strategize and ensure successful deal closure.
• Ramp and Coaching Programs: Design and execute specialized onboarding programs with clear ramp goals for new AEs, and implement targeted coaching programs for existing AEs to ensure continuous improvement and high performance.
• Performance Monitoring and Accountability: Regularly inspect and enable the sales team, jumping in when necessary to provide guidance and maintain accountability for sales targets and process adherence.
• Collaboration with GTM Teams: Work closely with marketing, product, and customer success teams to ensure seamless collaboration and alignment on sales initiatives and customer needs.

???? What We’re Looking For:

• 6+ years of experience in B2B SaaS Sales
• 3+ years of experience selling to companies +X employees and an understanding of how to navigate buying process at larger organizations
• Experience managing an enterprise sales team with demonstrated success
• Demonstrated understanding of MEDDPICC sales methodology
• Experience working with IT, Security, GRC or similar technical buyers (experience selling cybersecurity is a plus)
• Ability to be nimble and a desire to be in a start-up environment where resources are still being built or refined
• Salesforce.com hygiene and deal management rigor
• Strong communication skills, operate with ethics, adaptability, grit and empathy

???? More Information on the Role

As our Enterprise Sales Director you will be pivotal in driving our sales strategy, building a high-performing sales team, and ensuring that our Enterprise Account Executives consistently meet and exceed their targets. This role is crucial in scaling our revenue and expanding our customer base in the Enterprise segment.

✨ Your Responsibilities

• Pipeline Creation and Management: Develop and implement strategies to ensure AEs build and maintain a robust sales pipeline, achieving 4x pipeline coverage at any given point.
• Sales Process Discipline: Enforce a rigorous sales process where Salesforce notes are up-to-date, all steps are followed before advancing opportunities, and deep discovery is completed.
• Deal Support and Partnership: Be deeply involved in critical deals, acting as a sparring partner for AEs to strategize and ensure successful deal closure.
• Ramp and Coaching Programs: Design and execute specialized onboarding programs with clear ramp goals for new AEs, and implement targeted coaching programs for existing AEs to ensure continuous improvement and high performance.
• Performance Monitoring and Accountability: Regularly inspect and enable the sales team, jumping in when necessary to provide guidance and maintain accountability for sales targets and process adherence.
• Collaboration with GTM Teams: Work closely with marketing, product, and customer success teams to ensure seamless collaboration and alignment on sales initiatives and customer needs.

???? What We’re Looking For:

• 6+ years of experience in B2B SaaS Sales
• 3+ years of experience selling to companies +X employees and an understanding of how to navigate buying process at larger organizations
• Experience managing an enterprise sales team with demonstrated success
• Demonstrated understanding of MEDDPICC sales methodology
• Experience working with IT, Security, GRC or similar technical buyers (experience selling cybersecurity is a plus)
• Ability to be nimble and a desire to be in a start-up environment where resources are still being built or refined
• Salesforce.com hygiene and deal management rigor
• Strong communication skills, operate with ethics, adaptability, grit and empathy

???? What We Value

We also care about whether you would be a good fit for Lumos based on the values and characteristics that define how we achieve outcomes, not just your resume. 

Thank you for considering Lumos, we hope to hear from you! ????

????Pay Range

$280,000 - $400,000 OTE

Note that this range is a good faith estimate of likely pay for this role; upon hire, the pay may differ due to skill and/or level of experience.

????Pay Range

$280,000 - $400,000 OTE

Note that this range is a good faith estimate of likely pay for this role; upon hire, the pay may differ due to skill and/or level of experience.

As our Data Lead, you will enable Lumos to make clear data-based decisions. You will have the opportunity to take our existing data foundation, build upon it, and shape the way we measure the business, communicate with our customers, and enable cross-functional teams to look around the corner. 

✨ Your Responsibilities

• Data Infrastructure + Enablement: Spearhead projects in conjunction with our infrastructure and product engineering teams to build our core data layers and ingest various data sources to build simpler queryable tables.
• Data Enablement: Transform the data into actionable dashboards and insights for cross-functional teams such as Customer Success and Product.
• GTM Enablement: Empower our sales/customer teams by surface customer-level data at an individual and aggregate-level to support faster adoption, implementation, growth and retention.
• Product Analytics: Collaborate with Product to develop and refine key KPIs in support of product health. Support product managers in using data to uncover the biggest bottlenecks and find answers to product adoption questions
• Operational Reporting: Align with leadership to define business-level KPIs to lead the development and maintenance of our core business dashboards to help teams drive operational rigor and manage performance. Support business partners in understanding metrics movements and trends in our business and while product, while also proactively detecting issues in metrics and triaging with cross-functional partners.
• Operational Deep Dives: Tackle complex business questions where the data and insights lie across several data sources. Proactively use data to highlight findings and make recommendations that shape Lumos’ growth.

???? What We're Looking For

• 7+ years of experience in a Data Analyst or related role within the SaaS space
• Proficiency in SQL and Python
• Data Modeling experience using tools such as DBT 
• Experience using BI Tools such as Looker, Tableau, Power BI or Metabase 
• Ability and desire to work autonomously and navigate through ambiguity as the company scales
• Experience prioritizing and taking ownership of data projects that align with company OKRs
• Proven ability to work cross-functionally and partner with leadership to successfully hit data goals

???? What We Value

We also care about whether you would be a good fit for Lumos based on the values and characteristics that define how we achieve outcomes, not just your resume. 

Thank you for considering Lumos, we hope to hear from you! ????

????Pay Range 

• $165,000 - $190,000 USD. Note that this range is a good faith estimate of likely pay for this role; upon hire, the pay may differ due to skill and/or level of experience.