Solutions Architect
Applied Researcher, Audio Post-Training
Solutions Architect
Solutions Architect
Director of Business Intelligence
About the Company
The Public Interest Company provides a comprehensive solution for identifying and recovering third party liability for health plans, risk-bearing provider groups, and self-funded employers. We combine AI and a legal tech platform to identify and recover claims that should have been paid by third party payers. We handle the entire recovery process, all while protecting members and streamlining operations. We empower healthcare organizations to maximize their financial performance and recoup dollars towards care delivery, without adding administrative burden.
Role Overview
Our business runs on data — client reporting, recovery performance, operational throughput, and financial results all trace back to the same underlying tables. The Director of Business Intelligence is the person who owns that picture end to end: what the data means, where it lives, whether it's right, and how it gets turned into something a business owner can act on.
This is not a request-taking dashboard role. You'll build in Sigma, but the job starts before that — understanding the question behind the ask, knowing which source tables in Databricks and Postgres actually answer it, and making the call on what “correct” looks like before a single chart gets built. You'll work alongside data engineering and engineering, but you are the business owner of the data: the person who knows every table, every workflow, and every number well enough to catch it when something's off before anyone else does. Every data request in the business — from an internal ops question to client-facing reporting — should route through you, not because you gatekeep for its own sake, but because you're the only person positioned to know whether the answer is right and whether it's the right question in the first place.
This is an apex individual contributor role. We're looking for someone who pairs deep technical fluency with real commercial instinct — someone who can sit with a business leader, understand what outcome they're actually chasing, and come back with an insight (not just a dashboard) that changes a decision.
Responsibilities
Data Ownership & Architecture
Own the business's data graph — the map of what data exists, where it lives (Databricks, Postgres), how entities relate, and what each field actually means in practice
Serve as the single source of truth on data accuracy and data quality across the business; know the source data well enough to catch errors before they reach a dashboard or a client
Partner closely with the data engineering and engineering teams on data model design, pipeline issues, and structural changes — you don't build the pipelines, but you understand them well enough to hold the line on quality
Maintain documentation of data lineage, definitions, and known caveats so the business isn't relying on tribal knowledge
BI & Reporting Delivery
Design, build, and maintain dashboards and reporting in Sigma across all areas of the business
Own all client-facing reporting — every client data deliverable runs through you for scoping and accuracy sign-off
Act as the intake point for data and reporting requests across the business; triage, scope, and prioritize rather than simply executing what's asked
Before building anything, understand the underlying business question, the decision it will inform, and whether the requested output is actually the right one — push back and reshape the ask when it isn't
Commercial Insight & Business Partnership
Translate data into commercial insight — not just “what happened” but “what it means and what to do about it”
Work directly with business leaders across operations, litigation, and finance to help them develop and act on insights from the data
Proactively identify patterns, risks, and opportunities in the data rather than waiting to be asked
“Sell” insights internally — present findings in a way that drives decisions and gets adopted, not just circulated
Data Governance & Quality Control
Establish and enforce a standard for data quality and validation across all reporting and dashboards
Build a process (with data engineering) to catch and resolve data discrepancies before they surface downstream
Set the standard for what “production-ready” reporting looks like at TPIC and hold that line across the business
Qualifications
4+ years in business intelligence, analytics engineering, or a hybrid data/commercial role, with demonstrated ownership of a company's core reporting and data quality function
Strong SQL and hands-on experience with modern data warehouses (Databricks required; Postgres a strong plus)
Proven experience building and maintaining dashboards in Sigma or a comparable modern BI tool (Looker, Mode, Tableau)
Demonstrated ability to reverse-engineer and document complex, multi-source data models
Strong commercial instincts — a track record of turning data into decisions, not just reports
Experience operating as the last line of defense on data accuracy in a business with multiple workflows and complex source data
Comfortable operating as a single point of ownership across a business with no BI team beneath you — this is a builder-operator role, not a manager role (for now)
Excellent stakeholder communication; able to push back on a request and be trusted for it
Healthcare, insurance, or claims data experience a plus but not required
About the Company
The Public Interest Company provides a comprehensive solution for identifying and recovering third party liability for health plans, risk-bearing provider groups, and self-funded employers. We combine AI and a legal tech platform to identify and recover claims that should have been paid by third party payers. We handle the entire recovery process, all while protecting members and streamlining operations. We empower healthcare organizations to maximize their financial performance and recoup dollars towards care delivery, without adding administrative burden.
Operations Manager, Workforce Strategy & Planning
Company Overview:
Role:
Key Responsibilities:
- Workforce Management & Capacity Planning
- Run demand forecasting and capacity planning using AI model outputs - validate projections, apply bias corrections, and translate forecasts into interval-level staffing plans. Inputs include demand trends, seasonality, product launches, and marketing activity.
- Maintain, update, and improve existing staffing models (headcount-to-volume alignment, SLA modeling, scenario planning) as inputs change - you're not building these from scratch, but you need to understand the logic well enough to adjust, improve, and defend the outputs.
- Build and distribute weekly schedules; coordinate with Team Leads on shift coverage, gaps, and real-time adjustments.
- Drive resource planning for new initiatives, including shift coverage for new channels, skill-based routing changes, and staffing implications of product or geographic launches.
- Own BPO forecast and capacity planning: translate volume projections into vendor capacity needs and flag misalignment early.
- Process contractor invoices on cadence.
- Manage schedule publishing and headcount updates.
- Operational Optimization
- Co-own the monthly Finance labor cost model review, prepare inputs, flag variances, maintain the rolling forecast.
- Work with Product, Engineering, Marketing and Support teams to stay ahead of feature rollouts and changes that will impact volume or staffing needs, as well as feed those inputs into the forecasting and planning cycle.
- Deliver hiring plan recommendations tied to volume projections, attrition trends, and batch hiring constraints.
- Track and report on OKRs: prepare leadership updates, maintain KR tracking, flag risks to targets.
- Stakeholder & System Coordination
- Serve as the primary WFM point of contact for Ops leadership, Finance, and cross-functional partners during the engagement.
- Collaborate with Data Science on predictive model refinement and operational dashboard development.
- Maintain recurring operational reporting cadences
Qualifications/Skills:
- 4+ years in workforce management, capacity planning, or workforce operations
- Experience scaling support functions in high-growth companies. You'll be operating the WFM function during a period of significant membership growth, new channel launches, and geographic expansion. Healthcare or digital health experience is a major plus.
- Strong modeling skills and comfort with large datasets. Experience with BI tools (Databricks, Looker, Tableau, or similar) are a plus - you should be able to pull data, validate assumptions, and translate analysis into actionable staffing decisions.
- Experience managing or coordinating BPO vendors: capacity planning, performance tracking, invoice reconciliation.
- Familiarity with WFM tools, helpdesk platforms (we use Intercom), and HRIS/scheduling systems (we use Rippling).
- Demonstrated ability to work cross-functionally with Finance, Marketing, Product, and Data teams.
- Strong operational reporting skills
- Comfortable stepping into an established system. You'll inherit existing models, processes, vendor relationships, and reporting cadences built by the person you're covering for.
To be a strong fit, you embody our Core Values:
- Ruthless Prioritization:
- We don’t let perfect get in the way of progress.
- We move quickly to drive value, not perfection.
- We prioritize what drives impact.
- We never compromise on standards of excellence.
- Member-First, Always:
- We design and deliver like we’re caring for someone we love.
- We create calendar, actionable, human experience.
- We prioritize responsiveness, peace of mind, and outcomes.
- We empower members with truth, clarity, and care.
- One Team, Moving Fast:
- We are aligned in purpose, prioritization, and speed.
- We gather diverse perspectives to make informed decisions.
- We clear paths for each other and move fast together.
- We communicate clearly and respectfully, rallying around shared goals.
- Radical Ownership, Relentless Execution:
- We don’t just ship– we own outcomes and drive results.
- We act with urgency and precision
- We anticipate, initiate, and follow through.
- We meet challenges with grit and pragmatism.
- We embrace new tech to deliver better outcomes.
- Mission Over Ego:
- We are ruthlessly aligned to our mission - and leave ego at the door.
- We disagree and commit.
- We don't tolerate politics or withholding information.
- We operate with honesty, transparency, and respect.
- Sustained Integrity in Every Detail:
- We earn trust by obsessing over accuracy, quality, and clarity in everything we do.
- We prioritize clinical precision - data must be right.
- We sweat the details because outcomes depend on them.
Why You'll Love Working With Us:
Operations Manager, Workforce Strategy & Planning
Company Overview:
Role:
Key Responsibilities:
- Workforce Management & Capacity Planning
- Run demand forecasting and capacity planning using AI model outputs - validate projections, apply bias corrections, and translate forecasts into interval-level staffing plans. Inputs include demand trends, seasonality, product launches, and marketing activity.
- Maintain, update, and improve existing staffing models (headcount-to-volume alignment, SLA modeling, scenario planning) as inputs change - you're not building these from scratch, but you need to understand the logic well enough to adjust, improve, and defend the outputs.
- Build and distribute weekly schedules; coordinate with Team Leads on shift coverage, gaps, and real-time adjustments.
- Drive resource planning for new initiatives, including shift coverage for new channels, skill-based routing changes, and staffing implications of product or geographic launches.
- Own BPO forecast and capacity planning: translate volume projections into vendor capacity needs and flag misalignment early.
- Process contractor invoices on cadence.
- Manage schedule publishing and headcount updates.
- Operational Optimization
- Co-own the monthly Finance labor cost model review, prepare inputs, flag variances, maintain the rolling forecast.
- Work with Product, Engineering, Marketing and Support teams to stay ahead of feature rollouts and changes that will impact volume or staffing needs, as well as feed those inputs into the forecasting and planning cycle.
- Deliver hiring plan recommendations tied to volume projections, attrition trends, and batch hiring constraints.
- Track and report on OKRs: prepare leadership updates, maintain KR tracking, flag risks to targets.
- Stakeholder & System Coordination
- Serve as the primary WFM point of contact for Ops leadership, Finance, and cross-functional partners during the engagement.
- Collaborate with Data Science on predictive model refinement and operational dashboard development.
- Maintain recurring operational reporting cadences
Qualifications/Skills:
- 4+ years in workforce management, capacity planning, or workforce operations
- Experience scaling support functions in high-growth companies. You'll be operating the WFM function during a period of significant membership growth, new channel launches, and geographic expansion. Healthcare or digital health experience is a major plus.
- Strong modeling skills and comfort with large datasets. Experience with BI tools (Databricks, Looker, Tableau, or similar) are a plus - you should be able to pull data, validate assumptions, and translate analysis into actionable staffing decisions.
- Experience managing or coordinating BPO vendors: capacity planning, performance tracking, invoice reconciliation.
- Familiarity with WFM tools, helpdesk platforms (we use Intercom), and HRIS/scheduling systems (we use Rippling).
- Demonstrated ability to work cross-functionally with Finance, Marketing, Product, and Data teams.
- Strong operational reporting skills
- Comfortable stepping into an established system. You'll inherit existing models, processes, vendor relationships, and reporting cadences built by the person you're covering for.
To be a strong fit, you embody our Core Values:
- Ruthless Prioritization:
- We don’t let perfect get in the way of progress.
- We move quickly to drive value, not perfection.
- We prioritize what drives impact.
- We never compromise on standards of excellence.
- Member-First, Always:
- We design and deliver like we’re caring for someone we love.
- We create calendar, actionable, human experience.
- We prioritize responsiveness, peace of mind, and outcomes.
- We empower members with truth, clarity, and care.
- One Team, Moving Fast:
- We are aligned in purpose, prioritization, and speed.
- We gather diverse perspectives to make informed decisions.
- We clear paths for each other and move fast together.
- We communicate clearly and respectfully, rallying around shared goals.
- Radical Ownership, Relentless Execution:
- We don’t just ship– we own outcomes and drive results.
- We act with urgency and precision
- We anticipate, initiate, and follow through.
- We meet challenges with grit and pragmatism.
- We embrace new tech to deliver better outcomes.
- Mission Over Ego:
- We are ruthlessly aligned to our mission - and leave ego at the door.
- We disagree and commit.
- We don't tolerate politics or withholding information.
- We operate with honesty, transparency, and respect.
- Sustained Integrity in Every Detail:
- We earn trust by obsessing over accuracy, quality, and clarity in everything we do.
- We prioritize clinical precision - data must be right.
- We sweat the details because outcomes depend on them.
Why You'll Love Working With Us:
Data Scientist (Mid-Sr)
What is Spade?
Financial institutions process billions of transactions every day across cards, ACH, wires, and third party aggregators. But most of that data is difficult to use. Descriptions are inconsistent, merchant names don’t match, and categories vary by payment type.
Spade is a data and AI platform that turns messy transaction strings into structured, verified records — and gives teams the tools to act on it across authorization, attribution, analytics, and AI initiatives. Spade leads the market in terms of merchant coverage, matching accuracy, geolocation data, and speed of transaction enrichment. Customers such as, FIS, Bilt, Mercury, Stripe, alongside many other leaders in fintech and financial services, trust Spade's data to enable personalized rewards programs, accurate applied spending rules, precise analytics requests, and innovative AI-powered features.
Spade is a fast growing, Series B company backed by industry experts and top tier investors (including Oak HC/FT, a16z, Flourish Ventures, Y-Combinator, and Gradient Ventures). We’re a lean and execution-oriented hybrid team, passionate about building exceptional products for our growing customer base. We care deeply about diversity of background, experience, and opinion. We value empathy, curiosity, and passion, and strive to create an environment where individuals have autonomy and the ability to take ownership over their work.
What will you be doing?
At Spade, data is the product. As a Data Scientist, you'll build real-time ML/AI systems — from traditional ML and NLP to AI agents — on our proprietary merchant, location, and transaction datasets, turning them into insights financial institutions act on. Working closely with our talented engineering and product teams, you'll help turn ideas into scalable solutions.
Own ML/AI products end-to-end: ideation, prototyping, production
Build automated ML/AI systems that improve Spade's data quality and product performance
Raise the bar on how we develop, deploy, and monitor models — scalable, accurate, robust
(Senior) Help set the data science and product roadmap with leadership
(Senior) Mentor other data scientists and grow the team's practices
Note: We're hiring for both Mid and Senior levels across multiple openings; exact level is determined during the interview process.
Must have:
3+ years building and shipping models in Python, in a fast-paced environment (5+ for senior)
Worked hands-on with engineering and product, not just in a research silo
Strong ML, stats, and data fundamentals (PySpark, pandas, SQL)
A product mindset — you navigate ambiguity and optimize for customer value, not just model accuracy
A collaborative streak — you take feedback well and care about the team's success, not just your own
An AI-forward workflow — coding assistants and LLMs are part of how you already work, and you're excited to push further
Based in NYC with ability to work out of our Flatiron office at least 2 days/week
Additional for Senior:
5+ years, with end-to-end ownership of ML/AI products from idea to production
Shipped ML/AI-powered products, ideally customer-facing
A track record of mentoring and raising team standards
Nice to have:
Databricks, data pipelines, Hex
Gen AI feature/product development
Fintech experience — especially transaction, merchant, or location data
Early-stage, high-growth startup experience
Why join Spade?
Be a cultural founder. As an early employee, you’ll play a meaningful role in defining and building our culture.
Get in on the ground floor. We’re a small but well-funded team – joining now comes with limited risk and unlimited upside.
Build the next generation of financial infrastructure. Our products will power the next wave of innovation in fintech, helping our customers deliver better, more transparent products and services to the consumer.
Benefits include:
Competitive compensation and equity package
Full medical, dental, and vision benefits for US-based employees
Life & short-term disability insurance
Unlimited PTO
Early exercise program
Extended post-termination exercise period
401K for retirement planning
Hybrid team, with pet-friendly headquarters in NYC
Paid parental leave
Work from home stipend
Salary Range:
At Spade, we view total compensation as consisting of salary + equity + benefits. We recruit motivated and high performing talent, and work to compensate people in line with the value they bring to our team.
We aim to pay fairly and competitively, and consider a number of factors in developing compensation offers. These factors include years and breadth of experience, interview performance, market dynamics, and internal equity.
The anticipated base salary range for this role is listed above (in USD).
Diversity & Inclusion at Spade:
Spade is an equal opportunity employer, committed to building a culture that is diverse, equitable, and inclusive. We believe that having people with different backgrounds, experiences, abilities, and perspectives not only helps us build the best products for our customers, but also helps us be the best version of ourselves.
Data Scientist (Mid-Sr)
What is Spade?
Financial institutions process billions of transactions every day across cards, ACH, wires, and third party aggregators. But most of that data is difficult to use. Descriptions are inconsistent, merchant names don’t match, and categories vary by payment type.
Spade is a data and AI platform that turns messy transaction strings into structured, verified records — and gives teams the tools to act on it across authorization, attribution, analytics, and AI initiatives. Spade leads the market in terms of merchant coverage, matching accuracy, geolocation data, and speed of transaction enrichment. Customers such as, FIS, Bilt, Mercury, Stripe, alongside many other leaders in fintech and financial services, trust Spade's data to enable personalized rewards programs, accurate applied spending rules, precise analytics requests, and innovative AI-powered features.
Spade is a fast growing, Series B company backed by industry experts and top tier investors (including Oak HC/FT, a16z, Flourish Ventures, Y-Combinator, and Gradient Ventures). We’re a lean and execution-oriented hybrid team, passionate about building exceptional products for our growing customer base. We care deeply about diversity of background, experience, and opinion. We value empathy, curiosity, and passion, and strive to create an environment where individuals have autonomy and the ability to take ownership over their work.
What will you be doing?
At Spade, data is the product. As a Data Scientist, you'll build real-time ML/AI systems — from traditional ML and NLP to AI agents — on our proprietary merchant, location, and transaction datasets, turning them into insights financial institutions act on. Working closely with our talented engineering and product teams, you'll help turn ideas into scalable solutions.
Own ML/AI products end-to-end: ideation, prototyping, production
Build automated ML/AI systems that improve Spade's data quality and product performance
Raise the bar on how we develop, deploy, and monitor models — scalable, accurate, robust
(Senior) Help set the data science and product roadmap with leadership
(Senior) Mentor other data scientists and grow the team's practices
Note: We're hiring for both Mid and Senior levels across multiple openings; exact level is determined during the interview process.
Must have:
3+ years building and shipping models in Python, in a fast-paced environment (5+ for senior)
Worked hands-on with engineering and product, not just in a research silo
Strong ML, stats, and data fundamentals (PySpark, pandas, SQL)
A product mindset — you navigate ambiguity and optimize for customer value, not just model accuracy
A collaborative streak — you take feedback well and care about the team's success, not just your own
An AI-forward workflow — coding assistants and LLMs are part of how you already work, and you're excited to push further
Based in NYC with ability to work out of our Flatiron office at least 2 days/week
Additional for Senior:
5+ years, with end-to-end ownership of ML/AI products from idea to production
Shipped ML/AI-powered products, ideally customer-facing
A track record of mentoring and raising team standards
Nice to have:
Databricks, data pipelines, Hex
Gen AI feature/product development
Fintech experience — especially transaction, merchant, or location data
Early-stage, high-growth startup experience
Why join Spade?
Be a cultural founder. As an early employee, you’ll play a meaningful role in defining and building our culture.
Get in on the ground floor. We’re a small but well-funded team – joining now comes with limited risk and unlimited upside.
Build the next generation of financial infrastructure. Our products will power the next wave of innovation in fintech, helping our customers deliver better, more transparent products and services to the consumer.
Benefits include:
Competitive compensation and equity package
Full medical, dental, and vision benefits for US-based employees
Life & short-term disability insurance
Unlimited PTO
Early exercise program
Extended post-termination exercise period
401K for retirement planning
Hybrid team, with pet-friendly headquarters in NYC
Paid parental leave
Work from home stipend
Salary Range:
At Spade, we view total compensation as consisting of salary + equity + benefits. We recruit motivated and high performing talent, and work to compensate people in line with the value they bring to our team.
We aim to pay fairly and competitively, and consider a number of factors in developing compensation offers. These factors include years and breadth of experience, interview performance, market dynamics, and internal equity.
The anticipated base salary range for this role is listed above (in USD).
Diversity & Inclusion at Spade:
Spade is an equal opportunity employer, committed to building a culture that is diverse, equitable, and inclusive. We believe that having people with different backgrounds, experiences, abilities, and perspectives not only helps us build the best products for our customers, but also helps us be the best version of ourselves.
Principal Data Engineer
CodaMetrix is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix’s autonomous coding drives efficiency under fee-for-service and value-based care models and supports improved patient care. We are passionate about getting physicians and healthcare providers away from the keyboard and back to clinical care.
Overview
The Principal Data Engineer is a member of the Data Platform team, reporting to the Director of Machine Learning Engineering and Data. The Data Platform team is responsible for executing the data strategy for the organization, ensuring high-quality external data is ingested into the Lakehouse and realized in powerful insights for internal and external customers, while ensuring ML/AI, BI and customer success teams have the data they need to develop and train their models, build insightful dashboards and design semantic layer. As a Principal Data Engineer (L4), you will serve as a key technical leader for CodaMetrix’s Databricks-based data platform, supporting streaming and batch workloads across 30+ healthcare customers. You will own the platform’s architecture, evolution, and operational excellence, including infrastructure-as-code, CI/CD automation, disaster recovery, cost optimization, data contracts, and build-vs-buy decisions, while enabling ML Engineering, Analytics, DevOps, and Product teams and influencing technical standards beyond the immediate team. This role operates with minimal oversight and is expected to influence technical standards beyond the immediate team.
Responsibilities
Own the technical strategy and roadmap - Own the vision, architecture, and roadmap for the CodaMetrix data platform, ensuring scalability, reliability, regulatory alignment, and operational excellence. Lead key technology decisions, disaster recovery design, architecture reviews, and data engineering standards across teams.
Platform Engineering at Scale - Design, build, and maintain scalable streaming and batch data platforms Databricks using PySpark, Unity Catalog, Delta Lake, and Structured Streaming. Own Terraform-based infrastructure across environments, including jobs, catalogs, schemas, permissions, compute policies, volumes, and external locations. Build Jenkins CI/CD workflows for automated testing, tagging, and deployments, while optimizing training pipelines, materialized views, retention policies, and production performance.
Data Governance & Security - Implement and evolve least-privilege access controls across Databricks using Unity Catalog grants, YAML-driven group policies, and schema-level restrictions. Ensure HIPAA and SOC 2 compliance through PHI masking, audit logging, environment-level data segmentation, user provisioning, compute policies, and cost attribution.
Cost Optimization & Operational Excellence - Drive platform cost reduction through compute policy tuning, serverless optimization, reserved pools, materialized view improvements, and remediation of underutilized resources. Monitor Databricks/AWS spend (using tools like CloudZero and AWS Cost Explorer), own cost attribution and budgeting, resolve production incidents, and maintain runbooks to ensure platform SLAs for uptime and performance.
Cross-Functional Enablement & Mentorship - Enable ML, BI, Analytics, DevOps, and customer success and implementation teams with training data pipelines, model-ready datasets, feature store architecture, optimized views, dashboards, Tableau refreshes, infrastructure changes, and tenant onboarding. Mentor engineers through code and design reviews, establish quality standards, and serve as a subject matter expert for data platform engineering across the organization.
Requirements
Must-Haves
A degree in Computer Science or a related field (Bachelor's, Master's, or Ph.D.), or an equivalent combination of education and demonstrable professional experience
8+ years of data engineering experience with progressive responsibility
5+ years hands-on experience with the Databricks platform (Unity Catalog, Delta Lake, Structured Streaming, Spark SQL, cluster management, platform administration)
Expert proficiency in PySpark and Python; working knowledge of Scala
Expert experience with Terraform for infrastructure-as-code (state management, modular structures, multi-environment deployments, YAML-driven configuration)
Expert experience with Apache Kafka / AWS MSK (streaming ingestion, SASL/IAM auth, topic management, cluster migrations)
Deep understanding of medallion/lakehouse architecture patterns (bronze/silver/gold, SCD2, materialized views, slowly changing dimensions)
Proven track record building and maintaining CI/CD pipelines (Jenkins, GitHub Actions) for data platform deployments
Expert SQL skills — complex CTEs, window functions, performance optimization of large-scale queries across petabyte-scale datasets
Strong AWS experience (S3, IAM, Secrets Manager, VPC/Private Link, cross-region replication)
Demonstrated ability to operate in a HIPAA-regulated environment with PHI handling requirements
Experience with disaster recovery architecture — cross-region replication, failover procedures, read-only replicas
Experience using AI tools (e.g., Claude, Gemini, Codex) and agentic workflows to augment design, development, and testing processes.
Huge Plus: Prior experience working with healthcare data, such as medical claims, electronic health records (EHR), or billing code systems (ICD-10, CPT). Familiarity with healthcare data standards like HL7 or FHIR is highly desirable. Track record of influencing technical direction beyond immediate team — architecture reviews, establishing org-widestandards, technology selection. Strategic ability to make build-vs-buy decisions and evaluate emerging technologies for platform evolution
Location: Boston, MA/Remote - Hybrid
Job Type: Full-time, exempt , regular
Compensation: 175,000-200,000
What CodaMetrix can offer you:
Learn more about our full-time employee benefits and how we take care of our team.
Health Insurance: We cover 80% of the cost of medical and dental insurance and offer vision insurance
Retirement: We offer a 401(k) plan that eligible employees can contribute to one month after their first day
Flexibility: We have a generous Paid Time Off policy, which is managed but not limited, so you can take the time you need to relax and rejuvenate
Development: We provide annual performance evaluations and prioritize working with employees on what their individual growth looks like
Recognition: We recognize the outstanding achievements of our team through annual company awards where employees have the opportunity to nominate their peers
Office Location: A modern open plan workspace located in the bustling Back Bay neighborhood of Boston
Additional Employer Paid Benefits: We offer employer-paid life insurance and short-term and long-term disability insurance
Background Check Notice
All candidates will be required to complete a background check upon acceptance of a job offer.
Equal Employment Opportunity
Our company, as well as our products, are made better because we embrace diverse skills, perspectives, and ideas. CodaMetrix is an Equal Employment Opportunity Employer and all qualified applicants will receive consideration for employment.
Don’t meet every requirement? We invite you to apply anyway. Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At CodaMetrix we are committed to building a diverse, inclusive and authentic workplace and encourage you to consider joining us.
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