Staff Software Engineer (AI + ML SaaS)
New York, NY (office) or Boston area (remote)
EvolutionIQ
EvolutionIQ is the leading insurance claims guidance platform, providing faster recoveries and smarter decisions for carriersAbout Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. We’re backed by First Round Capital, FirstMark Capital, Foundation Capital, Brewer Lane Ventures, and have been named as Inc.’s top places to work!
The Adventure: We're the leading AI Guidance Platform company in the insurance industry today, working with some of the largest insurance companies in the US and expanding globally. We are growing rapidly, having started just five years ago, and have almost doubled our company size over the past year. We excel at converting pilots to production deployments, and we have a unicorn path ahead. Our technology has helped tens of thousands of people.
Job Summary: We are looking for a Staff level Engineer who will play an integral role in building out AI Claims Guidance software products. You will navigate the complexities of insurance data, bringing technical excellence and approach to build next generation products that are making an impact for our clients as well as injured and disabled workers.
Key Responsibilities:
- Serve as Technical Lead / Staff Engineer on one of our Product Engineering teams
- You'll be a key contributor out unified claims platform working closely with data science and data engineering teams to build a robust, scalable and intuitive web application
- Build and maintain the backend REST server that feeds machine learning data and BI (Business Intelligence) data to our intuitive React frontend
- Own the entire lifecycle of designing, building and launching enterprise applications
- Work in greenfield projects where you have high levels of ownership
- Work directly with the head of product, the data science team, UX designers, and end users
- Have a key role and ownership in shaping the future of EvolutionIQ’s products – from technology choices to building the roadmap
- Provide crucial technical expertise, introduce new best practices to the team, drive consistency across all teams, and help prioritize features to increase our client impact
- Continue to grow and learn in the engineering space with a focus on business problems that use large-scale structured and unstructured datasets
Requirements:
- Extensive experience going through the full feature development life cycle: Working with product managers, deciding scope, designing a database schema for representing the data, considering the serving needs, working with designers to figure out UX, implementing the interface, and finally maintaining the feature/system
- 7+ years of engineering experience
- Expert in Python Development, and strong experience with NodeJS and Typescript
- Strong Relational Database design
- Experience with Dagster and/or Airflow is preferred
- Experience designing, building and launching backend architectures that support multi-tenant, multi-user scenarios
- Ability to remain agile and move between rapid prototyping and stable production development
- Ability to write technical design documents, perform code reviews, and maintain state of the art engineering practices
- You know the critical questions to ask in order to understand a client’s business problem and can show the business impact of your technical solutions
- Team player who is solutions-oriented and exudes our ambitious, collaborative, and empathetic values
- You have crisp written and verbal communication skills and the ability to effectively correspond between technical and non-technical audiences
- A self-starter mindset with an eagerness to solve previously unsolved problems
- Excellent collaboration skills and are open to giving and receiving critical feedback across teams
Work-life, Culture & Perks:
- Compensation: The range is $225-250K with flexibility depending on a candidate’s background and experience plus meaningful equity (stock options).
- Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%
- Work/Life Balance: For this role we are hoping this person can work out of the NYC office regularly with much of our leadership with flexibility. We also have a flexible vacation/PTO policy.
- Home & Family: 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn
- Office Life: Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup
- Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally
- Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture Business Intelligence Dagster Engineering Excel Machine Learning Node.js Prototyping Python RDBMS React TypeScript UX
Perks/benefits: 401(k) matching Career development Equity / stock options Flex hours Flex vacation Health care Home office stipend Insurance Medical leave Parental leave Pet friendly Startup environment Team events
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.