Solutions Engineer, EvolutionIQ
AI Enterprise SaaS, Insurtech
$160-190k
+ Equity plan
More information about location
AI for insurance carriers
Be an early applicant
AI for insurance carriers
101-200 employees
Be an early applicant
$160-190k
+ Equity plan
More information about location
101-200 employees
Company mission
To transform the insurance industry through a partnership between AI and human experts, ultimately making it more fair and affordable for everyone.
Role
Who you are
- 5+ years of experience working in a Solutions Engineering / Solutions Architect capacity across enterprise B2B SaaS for a high growth technology company
- Proven experience as a business and technical leader for complex and sophisticated data solutions for enterprise clients
- Deep familiarity with the data tools including Pandas, Google BigQuery, DBT, and Data Analytics / BI reporting tools such as Looker or Looker Studio
- Proactive, self starter that can own and elevate function in a fast paced, agile startup environment
- Dedicated problem solver who can leverage technical expertise, analytical skills and business acumen to find creative solutions
- Superb written and oral communication skills
- Excellent relationship building and interpersonal skills
- Familiarity with RDBMS, database schema concepts, and ETL pipelines is a plus
- Familiarity with AI/ML methodologies is a plus
What the job involves
- We are currently seeking a Solutions Engineer to serve as a dedicated owner of data onboarding, relationships, maintenance, and health
- You will align priorities with Client Services schedules while coordinating across Product, Engineering, and Sales teams
- You’ll centralize validation of client data within Solutions Engineering, partnering with Engineering to develop tools and processes that boost data quality and streamline validation operations
- By elevating data management at EIQ, you’ll collaborate with Product to enhance operational efficiency and mitigate risks to time-to-value and overall project health
- In this role, clients will benefit from your expertise as you bridge infrastructure gaps and integrate multiple systems to keep implementations on track
- You will also serve as the key technical liaison who will troubleshoot, build custom workarounds, and reduce the need for Product and Engineering teams to engage directly with clients
- Lead data onboarding and data transfer for client implementations
- Develop and document data onboarding requirements and processes while developing operational framework to drive continuous improvement to client delivery models and client value
- Collaborate with Product, Engineering and ML teams to deliver and evolve scalable data onboarding and data health solutions while aligning with overall EIQ strategy and goals
- Contribute to the design, clean up and maintenance of client data and data architecture for EIQ data ingestion processes
- Stay current and provide feedback on systems to monitor and improve client data health in collaboration with CS and Product teams
- Collaborate closely with Sales to provide technical and operational guidance during the sales cycle
- Partner with Product, Engineering and CS teams to support Client custom integrations and scope custom product requests
- Provide additional implementation support to the Client Services team to ensure clients can successfully utilize all product features and functionality
- Identify opportunities for tools and automation to scale workflows for EIQ's CS and other teams
- Provide technical triage and escalation oversight across all product modules to client business and technical stakeholders as needed
- Provide data management training and promote data fluency across EIQ
- Data onboarding, data relationships, data maintenance and health will have a clear owner and their priorities will fully align with Client Services priorities and schedules while coordinating across Product, Engineering and ML team needs
- Data management at EIQ will be elevated as a dedicated resource is focused on collaborating with product to improve the operational efficiency and mitigate risk to TTV and Project / Client health
- Clients will have an expert, dedicated resource who can streamline the process and bridge gaps in their infrastructure while working across multiple systems to ensure implementation and projects are successful and on schedule
- Product, Engineering and ML teams at EIQ will be able to collaborate with a CS resource to troubleshoot and build custom workarounds and processes which will greatly reduce the need for them to work directly with Clients
- SE role can also provide technical and product expertise during the Sales process and properly manage Client expectations around resource allocation, effort and time required to ensure a successful data transfer process
Our take
EvolutionIQ is a data-driven claim guidance platform for insurance providers. Its products combine structured and unstructured claim data with external third party data to provide powerful claim guidance, in an attempt to modernize the claims operations process.
The company's offering is certainly an attractive one for businesses handling large volumes of these claims - the solutions aim to help insurance providers detect and prevent fraud without impacting their productivity and customer experience. Historically, the insurance industry has had access to vast amounts of data without optimizing how they use it. EvolutionIQ's machine learning algorithms harness the learnings from every data point, allowing for much more well-informed, actionable insights.
Competition is steep among AI insurance firms, and EvolutionIQ counts rivals such as CCC Intelligent Solutions and Riskcovry in this space. However, the market size is huge and ripe for disruption. With a valuation of more than $200 million following a successful VC funding round, EvolutionIQ is focused on the further development of its product and international expansion as it hopes to capture a larger slice of this $10 billion market.
Freddie
Company Specialist at Welcome to the Jungle
Insights
111% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2024
$20.2m
LATE VC
Jun 2023
$10.3m
LATE VC
Total funding: $60.4m
Company benefits
- Premium Medical Insurance Plan – Empire Blue Cross Blue Shield Medical insurance
- 401K with employer matching
- Dental Coverage – Principal Financial
- Life insurance / ACDC coverage – Reliance Standard
- Vision – Reliance Standard
- Short Term and Long Term Disability – Unum
- Employee stock option plan
- $500 to get you started setting up your home office and $200 every year for upgrades after that
Company HQ
Flatiron District, New York, NY
Leadership
Tomas Vykruta
(CEO)Has founded a number of companies including Electrolab Inc, and was a Senior Software Development Engineer at Microsoft ATG. Joined Waymo's Machine Learning wing, and then worked as a Staff Engineer at Google. Is currently one of Google's Developer Experts.
Michael Saltzman
(COO)Studied Engineering and Economics at Dartmouth, and obtained an MBA from Stanford. Co-founded Roomie Rentals while still a student, and then joined Bridgewater Associates as an Investment Associate.
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