Senior Data Scientist (Insurance Claims)
About CLARA Analytics
CLARA Analytics is the leading AI as a service (AIaaS) provider that improves casualty claims outcomes for commercial insurance carriers and self-insured organizations. The company’s product suite for workers comp, commercial auto and general liability insurance claims applies image recognition, natural language processing, and other AI-based techniques to unlock insights from medical notes, bills and other documents surrounding a claim. CLARA’s customers include companies from the top 25 global insurance carriers to large third-party administrators and self-insured organizations. Founded in 2017, CLARA Analytics is headquartered in California’s Silicon Valley. For more information, visit www.claraanalytics.com.
About the role
We’re seeking a Senior Data Scientist to architect and lead the development of our core Claim Clustering Platform—the intelligence layer that powers how we compare and analyze Bodily Injury (BI) claims across Workers’ Compensation, General Liability, and Auto Liability. This is a highly technical, hands-on role where you will design systems that move beyond experimentation into robust, production-grade solutions. You’ll collaborate closely with Machine Learning Engineers and MLOps specialists to ensure scalability, reliability, and continuous improvement. You’ll also serve as a critical bridge to Data and Application Engineering teams, ensuring seamless integration with downstream systems such as benchmarking and fraud detection.
What You'll Do
- Design and own the mathematical and technical framework for a scalable clustering engine that groups claims based on clinical, legal, and financial attributes.
- Partner with Machine Learning Engineers to translate prototypes into optimized production systems, and work with MLOps to implement automated retraining, monitoring, and model lifecycle management.
- Collaborate with Data and Application Engineering teams to define APIs and data contracts that power internal tools such as attorney and physician benchmarking, as well as fraud detection systems.
- Develop advanced representations of claims using both structured data (e.g., ICD codes, geographic data, indemnity and legal costs) and unstructured data (e.g., adjuster notes, medical records, legal documents).
- Act as a subject matter expert within the broader engineering organization, ensuring alignment between data science initiatives, system architecture, and production reliability standards.
What We’re Looking For
- 4-7 years in Data Science with a strong track record of deploying models into production environments.
- Deep experience with Bodily Injury claims, including at least 4 years of hands-on work in Workers’ Compensation or General Liability. Familiarity with claim lifecycles, medical billing (ICD/CPT), litigation processes, and reserve dynamics is crucial.
- Strong proficiency in Python and solid software engineering fundamentals, including system design, CI/CD pipelines, and API development/versioning.
- Expertise in unsupervised learning techniques (clustering, dimensionality reduction) and NLP methods (transformers, embeddings, LLM-based approaches) for analyzing complex, unstructured data.
- Proven ability to lead and execute projects across Data Science, Engineering, DevOps, and Product teams.
What We Offer
- The opportunity to make a real impact on a growing company.
- Collaborative and supportive work environment.
- Competitive compensation package.
- Salary + Bonus
- Benefits: generously subsidized health insurance, employer-paid ancillary benefits, flex/unlimited PTO, fully remote, 401k with company match
- Be a part of a team that is passionate about what we do!
Mortgage Support Analyst
Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.
Our AI workflow and analytics platform for lenders is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system.
Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business.
Job Title: Mortgage Analyst/Senior Mortgage Analyst/ Mortgage Support Lead / Mortgage Support Specialist
Location: Remote
Timings: 6 PM to 3 AM IST
Job Description:
We are seeking a detail-oriented and articulate Senior Mortgage Analyst to join our support team. The ideal candidate will bring strong written and verbal communication skills, a commerce background with a focus on Mathematics or Economics, and practical experience in SQL to effectively understand, troubleshoot, and support customer issues. This is a great opportunity for someone who combines analytical thinking with a customer-first approach.
Key Responsibilities:
- Serve as the first point of contact for customers via email, chat, or phone.
- Handled incoming customer calls and worked on support tickets to resolve queries and ensure timely issue resolution.
- Deliver prompt, accurate, and courteous responses to customer inquiries and issues.
- Investigate and resolve customer complaints by collaborating with internal teams and utilizing SQL to extract or verify data.
- Maintain thorough documentation of customer interactions, queries, and resolutions.
Monitor and track common issues to help identify trends and escalate systemic problems. - Contribute to improving support documentation, FAQs, and internal knowledge bases.
- Support service-level agreements (SLAs) and meet quality and responsiveness KPIs.
Required Skills:.
- Experience 1-3yrs
- Excellent written and verbal communication skills with a professional and empathetic tone.
- Strong analytical and logical reasoning capabilities.
- Proficient in MS Office (especially Excel and Word).
- Ability to handle multiple tasks, prioritize issues, and manage time effectively.
- Collaborative mindset with a willingness to learn and adapt.
- Previous experience in Mortgage domain
- Should be comfortable working from the office in a fixed shift, Monday to Friday, from 9:00 AM to 6:00 PM Eastern Time (ET)
Preferred Skills:
- Familiarity with ticketing systems and customer support metrics.
- Understanding of data integrity and confidentiality best practices.
Life at Ocrolus
We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.
Our culture is grounded in four core values:
Empathy – Understand and serve with compassion
Curiosity – Explore new ideas and question the status quo
Humility – Listen, be grounded, and remain open-minded
Ownership – Love what you do, work hard, and deliver excellence
We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.
We look forward to building the future of lending together.
Senior Software Engineer - App Infra
Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.
Our AI workflow and analytics platform for lenders is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system.
Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business.
We are looking for an exceptionally skilled Senior Software Engineer - Backend with a solid technical background and leadership skills, able to work in a fast-paced environment, and help architect and build the next generation of our backend applications.
What you'll do:
- Designing, implementing, and maintaining Microservices using Python.
- Designing and developing cloud based software products conforming to industry best practices.
- Build systems, services, and tools to handle new Ocrolus products and business requirements that securely scale over millions of transactions.
- Build and scale our fast-growing online services and data pipelines.
- Collaborate with other teams on security, reliability, and automation.
- Supporting the testing process, troubleshooting issues and resolving them.
What you'll bring:
- Bachelor's degree in Computer Science or related field.
- 5+ years engineering experience.
- Expert in Python and experience in building complex systems and applications.
- Solid database skills (Postgres, MySQL etc) and data modeling experience.
- Experience with Web Frameworks like Spring, Flask, and related ecosystems
- Strong problem-solving and communication skills.
- Can contribute best-practices and architectural leadership to our backend applications and help pick the architecture, frameworks and tooling for our next generation platform.
- Experience leading and owning projects from beginning to end.
- Experience with agile methodologies and automated testing.
- Familiarity with containerization, microservices architecture, continuous integration, Amazon Web Services, and deployment.
Life at Ocrolus
We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.
Our culture is grounded in four core values:
Empathy – Understand and serve with compassion
Curiosity – Explore new ideas and question the status quo
Humility – Listen, be grounded, and remain open-minded
Ownership – Love what you do, work hard, and deliver excellence
We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.
We look forward to building the future of lending together.
Enterprise Account Executive
Who we are
Polar is the complete data platform for omnichannel commerce. We connect every data source a brand runs on - Shopify, Amazon, NetSuite, Meta, Google, Klaviyo - into a single Snowflake warehouse, layer a commerce semantic layer on top, then add AI so operators can ask questions, get answers, and automate workflows without writing SQL.
Our founders came from Turo and Airbnb in Silicon Valley. They built data platforms at scale and wanted to bring that level of sophistication to fast-growing commerce brands. We support 4,000+ merchants, and zero direct competition with a better solution. We serve brands like Quadlock, gorjana, Joseph Joseph, and ARMRA Colostrum.
We shipped MCP integrations with Claude and ChatGPT, AI automations, and an AI Data Engineer that builds connectors on demand. Our positioning: the data layer to build agent workflows for commerce. Customers tell us things like "this is a dream come true - it feels like the first time they showed me Shopify".
How we operate
We publish our operating principles internally and we mean every word. Here are the ones that matter most if you're thinking about joining:
Customer Obsession. Every decision starts with: does this make our users' lives better? If the answer isn't clear, go talk to a customer before you build anything.
Own the Number. Every metric has an owner. If it's yours, know it cold - the trend, the why, the plan. Don't wait for someone to ask. If it's off track, you should be the first to say so.
Raise the Pace. Always ask: what would it take to do this in half the time? Speed is our edge. We try 100 things while the competitor tries one.
Don't Fail Silently. If it's broken, say it. If you're stuck, raise your hand. Hiding problems is the one thing that will actually get you in trouble.
Here to Win, Not to Be Right. Quiet ego, loud standards. Don't fight to be right - fight to win together. Be ruthless on quality, never rude about it.
Optimize for Polar, Not Your Function. "Not my scope" doesn't exist here. If it makes us win, it's your scope.
We're a remote-first team that runs daily standups, ships weekly, and holds ourselves to a standard most companies talk about but don't enforce. We're transitioning from founder-led intensity to systematic company intensity - which means we need people who can maintain the pace autonomously, not just when someone's watching.
Why this role exists
We're closing enterprise deals already. Q1 2026 was a company record. The unit economics are strong: $40k ACV, <30 days close time on qualified deals, 40% win rate.
But enterprise deals are getting more complex. They require executive stakeholder mapping, build vs buy positioning against internal data teams, and longer cycles with multiple decision-makers. We need someone who can run these deals end-to-end - from first call to close - with the technical credibility and deal orchestration skills that enterprise requires.
You'll work alongside our Head of Sales and partner closely with our partnerships team. The opportunity is massive and the foundation is built - we need someone who can close at the next level.
What you'll own
Full-cycle enterprise deals from discovery through close. Your targets will be mid-market and enterprise DTC brands doing $50M-$500M+ GMV with complex omnichannel operations
Executive stakeholder mapping and multi-threaded selling across ecommerce, marketing, data, and finance teams. You'll navigate deals where the CRO, VP of Ecommerce, and CFO all need to sign off
Build vs buy conversations with technical stakeholders. Brands with data teams are evaluating building their own stack - you need to credibly position why 8 separate tools and a 6-12 month project isn't the answer. Your talk track branches based on team size and sophistication
Pipeline generation in partnership with our SDR function, partnerships team, and your own outbound. You'll own the number and know it cold - the trend, the why, the plan
AI and MCP demos that land. Our AI roadmap - semantic layer, AI data analyst, AI strategist, autonomous agents - is the strongest part of our pitch for enterprise. You need to demo MCP on Claude and ChatGPT live and explain the four-level AI journey confidently
Consultative discovery using our structured playbook. We've built discovery frameworks for goals, stack, pain/product, and decision process - you'll master them and make them your own
Deal forecasting and pipeline hygiene. No silent slips - if something is off, say it now. Reforecast early with a new plan, don't wait for it to blow up
Who you are
We don't have a rigid checklist of requirements. We're looking for a specific kind of person:
You've spent 3-5 years closing $50k+ enterprise SaaS deals with technical evaluation processes. You've sold to multi-stakeholder buying committees, not just single-threaded to one champion
You're technically credible. You can discuss semantic layers, Snowflake instances, attribution models, and data architecture without sounding like you're reading a script. CTOs and data leads take you seriously
You have experience selling to ecommerce, retail, or DTC brands - or you've sold data/analytics/BI tools and can learn the vertical fast
You're a consultative seller who positions as a strategic advisor, not a vendor. You help prospects understand their data architecture gaps and business impact before you pitch features
You're patient with long cycles but relentless on next steps. Enterprise deals require relationship building across multiple stakeholders - you know how to keep momentum without being pushy
You're comfortable demoing AI products live and excited about the space. This isn't a "hand it to the SE" role - you run your own demos
You communicate clearly and concisely. No fluff, no jargon. You close the loop on everything
What separates A-players
You run discovery like a consultant, not a checklist. You map every stakeholder in the first two calls and know exactly who the economic buyer is. You can pivot between talking ROAS with a Head of Growth and data architecture with a CTO in the same meeting. You build pipeline when you're ahead of quota, not just when you're behind. And you treat forecasting as a craft - your commits are accurate because you understand your deals, not because you're sandbagging.
What our customers see
These are the kinds of results you'll sell against:
Thiege consolidated 9 different tools into Polar and saved $300K per year vs building their own data stack
CABA improved their ROAS by 65% using our attribution model and incrementality testing to reallocate spend
Modular Closet grew Klaviyo flow revenue by 50% with our CDP and identity resolution layer
Quadlock started with us below $10M - we helped them scale to 9 figures and a $350M acquisition
How we hire
We believe the best people want to go through a demanding process. We've learned the hard way that great interviewers aren't always great operators - so our process is designed to see how you think, not how you present.
1. Motivation screen - A quick call to understand what drives you and whether there's mutual fit
2. Live case study - A real scenario where you work through a problem in real time. No prep decks, no take-homes. We want to see how you actually operate
3. Leadership conversations - Meet the team, understand the culture, make sure this is somewhere you want to build
Our hiring bar: if this person started a company, would we want to join them?
Strategic Partnership Manager
Who we are
Polar is the complete data platform for omnichannel commerce. We connect every data source a brand runs on - Shopify, Amazon, NetSuite, Meta, Google, Klaviyo - into a single Snowflake warehouse, layer a commerce semantic layer on top, then add AI so operators can ask questions, get answers, and automate workflows without writing SQL.
Our founders came from Turo and Airbnb in Silicon Valley. They built data platforms at scale and wanted to bring that level of sophistication to fast-growing commerce brands. We support 4,000+ merchants, and zero direct competition with a better solution. We serve brands like Quadlock, gorjana, Joseph Joseph, and ARMRA Colostrum.
We shipped MCP integrations with Claude and ChatGPT, AI automations, and an AI Data Engineer that builds connectors on demand. Our positioning: the data layer to build agent workflows for commerce. Customers tell us things like "this is a dream come true - it feels like the first time they showed me Shopify".
How we operate
We publish our operating principles internally and we mean every word. Here are the ones that matter most if you're thinking about joining:
Customer Obsession. Every decision starts with: does this make our users' lives better? If the answer isn't clear, go talk to a customer before you build anything.
Own the Number. Every metric has an owner. If it's yours, know it cold - the trend, the why, the plan. Don't wait for someone to ask. If it's off track, you should be the first to say so.
Raise the Pace. Always ask: what would it take to do this in half the time? Speed is our edge. We try 100 things while the competitor tries one.
Don't Fail Silently. If it's broken, say it. If you're stuck, raise your hand. Hiding problems is the one thing that will actually get you in trouble.
Here to Win, Not to Be Right. Quiet ego, loud standards. Don't fight to be right - fight to win together. Be ruthless on quality, never rude about it.
Optimize for Polar, Not Your Function. "Not my scope" doesn't exist here. If it makes us win, it's your scope.
We're a remote-first team that runs daily standups, ships weekly, and holds ourselves to a standard most companies talk about but don't enforce. We're transitioning from founder-led intensity to systematic company intensity - which means we need people who can maintain the pace autonomously, not just when someone's watching.
Why this role exists
Partnerships are our highest-performing channel. One partnership manager has generated $1.1M in revenue since July 2025, with a Q1 run rate approaching $2M annually. Partner-referred deals close at 52% vs 37% for direct sales. Partnerships now account for 36% of total company revenue.
The opportunity is massive and barely tapped. The Shopify ecosystem alone has 80 Platinum partners globally (each managing 50-150 brands), 950 Premier/Plus partners (each managing ~20 clients), and a total addressable market north of $100M just from the platinum tier. We've proven the model works - now we need to scale it.
This is part founder-energy relationship building, part systems thinking at scale.
What you'll own
Partner enablement and training - getting agency teams to understand Polar's value prop, demo the product themselves, and refer qualified brands. You'll create the "Polar operating system" for partners
Full-funnel partner pipeline from identification through activation to revenue. 43% of current partners have referred at least one deal - your job is to push that number significantly higher
Partner economics and deal structure. You'll work with a 20% discount model (commission or client discount), master agency accounts, and bi-directional lead sharing. You need to make the math work for both sides
AI and MCP as a partnership differentiator. Our MCP integrations are a major draw for technical agencies - you need to demo this confidently and help partners position it to their clients
In-person relationship building at Shopify events, industry conferences, and agency visits. This role requires travel and face time - partnerships close on trust
Tech-enabled scale - building automated workflows, partner nurture sequences, and systems that let you manage 100+ partner relationships without everything being manual
Who you are
We don't have a rigid checklist of requirements. We're looking for a specific kind of person:
You've spent 3-4 years in partnerships, channel sales, or business development at a SaaS company. This is not your first job - you've built partner programs before and know what breaks at scale
You're tech-savvy and systems-oriented. You think about automation first and manual effort second. You've used or built partner tooling, CRM workflows, or enablement programs
You know the Shopify ecosystem, ecommerce agency world, or DTC brand landscape. You understand how agencies make money and why they'd want to recommend a data platform
You can handle the full funnel independently - from cold outreach to partner activation to ongoing relationship management. You don't need someone to set up your meetings
You're comfortable demoing product and talking data with technical agency teams. AI, MCP, attribution models - you can explain the value without a sales engineer
You're energized by in-person relationship building. Events, dinners, agency visits - you see these as opportunities, not obligations
You communicate clearly and close loops fast. No messages go unanswered, no commitments slip without an update
What separates A-players
You think about partnerships as a system. You build the enablement materials, the automated nurture, and the feedback loops that let you scale from 20 partners to 200 without burning out. You understand that partner close rates are higher because the trust is pre-built - and you invest in that trust systematically. You're as comfortable building a Slack workflow as you are buying dinner for an agency founder.
What our customers see
These are the results partners help their clients achieve with Polar:
Thiege consolidated 9 different tools into Polar and saved $300K per year vs building their own data stack
CABA improved their ROAS by 65% using our attribution model and incrementality testing to reallocate spend
Modular Closet grew Klaviyo flow revenue by 50% with our CDP and identity resolution layer
Quadlock started with us below $10M - we helped them scale to 9 figures and a $350M acquisition
How we hire
We believe the best people want to go through a demanding process. We've learned the hard way that great interviewers aren't always great operators - so our process is designed to see how you think, not how you present.
1. Motivation screen - A quick call to understand what drives you and whether there's mutual fit
2. Live case study - A real scenario where you work through a problem in real time. No prep decks, no take-homes. We want to see how you actually operate
3. Leadership conversations - Meet the team, understand the culture, make sure this is somewhere you want to build
Our hiring bar: if this person started a company, would we want to join them?
Engineering Manager, Data Products
This is a fully remote role within the United States.
The Data Products organization at Turquoise is transforming how healthcare prices are understood, helping to flatten healthcare price inflation across the US, and building the foundational layer for direct to consumer healthcare transactions in the future.
We are seeking a skilled and proven Engineering Manager to lead one of our Data Product Engineering teams. You will play a critical role in guiding the technical direction of our user-facing products, fostering collaboration between engineering, product, and design, and driving a culture of excellence. We are looking for a leader who is passionate about building high-quality products and empowering their team to deliver exceptional user experiences.
Responsibilities:
Team Leadership: Lead, mentor, and grow a team of product engineers, responsible for building data analysis products on top of Turquoise’s best-in-class health service pricing data.
Product Delivery: Own the technical execution and delivery of key product features, ensuring high quality, performance, and scalability.
Technical Direction: Provide technical guidance and oversight, specifically in modern frontend technologies (VueJS), ensuring best practices in coding, architecture, and design are followed.
Collaboration: Work closely with Product Managers, Designers, and other Engineers to translate requirements into technical solutions and ensure alignment with business goals. Foster a high-performance and inclusive culture.
Quality & Excellence: Champion a culture of high quality, conducting code reviews and ensuring the product meets rigorous standards for user experience and reliability.
What you'll bring to the role:
5+ years experience in product engineering, or a related role, with 2+ years of experience managing a team of engineers.
Proven expertise shipping reliable products with high quality user experiences.
A track record of building inclusive teams, with process decisions informed by bottom-up insight from engineers.
Proven expertise managing and evolving incident response practices and managing an on-call schedule.
Experience working with cloud infrastructure (AWS) and platform services such as Heroku.
Proficiency with monitoring and observability tools (DataDog).
Excellent leadership and interpersonal skills, with the ability to convey technical issues to non-technical audiences.
Strong collaboration skills and ability to work across functional teams.
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Bonus points:
Experience working in SaaS or data-intensive environments.
Familiarity with compliance (HIPAA) and security frameworks (e.g., SOC 2, ISO-27001).
Familiarity and experience with Python, Django, and VueJS.
Experience in a remote-first environment.
Benefits:
Competitive pay with equity options
Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options
Company-sponsored disability & life insurance
Unlimited PTO
401(k) + 4% Matching
Fully remote work + flexible working hours
$750 work-from-home setup budget
Paid biannual in-person company summits
Quarterly $150 co-hanging stipend to meet up with coworkers
Monthly $100 health and wellness benefit
Generous paid family leave
Annual $1,200 learning & development stipend
About Turquoise Health
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, Adams Street, Yosemite, Bessemer Venture Partners, and others, we power price transparency for 300+ enterprise organizations and are building the infrastructure for a more open, efficient healthcare marketplace. We're a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
We operate on US business hours and work with clients entirely based in the US. For this role, we are seeking US-based candidates.
We strongly encourage BIPOC, people with disabilities, and LGBTQIA+ folks to apply for any open roles of interest. Healthcare affects all people differently, but it significantly affects those in underserved communities. With a robust, diverse team, we are stronger and better equipped to change the future of healthcare for all.
Disability Accommodation Email
Turquoise is committed to providing reasonable accommodations to applicants and employees with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require assistance or an accommodation with the hiring process, please contact recruiting@turquoise.health
Product Marketing Engineer
Product Marketing Engineer
Product Marketing Engineer
Mortgage Forward Deployed Engineer
Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.
Our AI workflow and analytics platform for lenders is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system.
Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business.
We’re looking for a Mortgage Forward-Deployed Engineer (FDE) to join our team and be the bridge between our product and our customers. This is not your standard engineering role, you’ll be out in the field, working directly with clients, writing production code, and helping them reimagine how they run their business with our platform. You will be working directly with our Account Management team, implementation team and onboarding team. This role reports to the VP of Account Management.
As an FDE, you’ll wear different hats: engineer, architect, and trusted advisor. One day you might be prototyping a custom integration; the next, you’re running a proof-of-value with a C-suite exec; the next, you’re feeding back product insights that shape the roadmap. If you like variety, ownership, and making real-world impact, you’ll love this role. This role will report to our Lead Forward-Deployed Engineer and be a part of the Account Management team.
What you'll do:
- Act as a technical expert and trusted advisor during the post-sales process, embed with customer teams to understand their workflows and demonstrate how Ocrolus’ technology improves efficiency in mortgage origination.
- Review and consult on technical solutions, APIs, microservices, data pipelines, and integrations that solve real business problems.
- Build and support technical solutions and integrations for mortgage clients using Ocrolus, Encompass, and other POS/LOS mortgage platforms.
- Run proof-of-concepts and proof-of-value engagements that demonstrate ROI fast.
- Troubleshoot gnarly technical issues in live environments and get things back on track.
- Partner with the Account Management and Product teams to deliver value, and influence the roadmap.
- Travel occasionally (~30–50%) to customer sites and industry events
Who we're looking for: (Skill Sets and Qualifications)
- 3+ years of experience in software engineering, solutions engineering, or technical consulting.
- 3+ years of a background in mortgage, or lending workflows.
- Strong understanding and experience with Encompass
- Strong consultative sales/account management approach—able to map technology to business challenges and drive change management conversations.
- Excellent communication and presentation skills, with experience engaging senior mortgage executives.
- Backend: Python; APIs; Encompass Developer Connect; SQL.
- Frontend: React/TypeScript; JavaScript with ICE Secure Scripting Framework (SSF) for Encompass custom form and workflow logic.
- Supporting: Familiarity with mortgage LOS/POS platforms (Encompass, Blend, SimpleNexus, Floify); Git; cloud basics (AWS/Azure).
- Thrive in fast-paced, ambiguous environments where you figure it out and get it done.
Nice to Have:
- Experience with SaaS integrations or loan origination systems.
- Additional mortgage LOS/POS experience
- Exposure to AI/ML or generative AI.
Why You’ll Love It Here
- You’ll have ownership from day one, our FDEs lead projects end-to-end.
- You’ll work directly with customers and see the immediate impact of what you build.
- You’ll shape the product by bringing the voice of the customer straight to engineering.
- You’ll work directly with a team focused on creating an excellent client experience
- You’ll have fun working with a highly proactive, collaborative team
Note:
The full-time salary range for this role is between $150,000 - $170,000 + commission + equity + benefits. Base pay offered may vary depending on job-related knowledge, skills, experience, and market location.
Disclosure as required by N.Y.C. Admin. Code §§ 8-102 and 8-107(32) of the full time salary compensation range for this role when being hired into our offices in New York City.
Life at Ocrolus
We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.
Our culture is grounded in four core values:
Empathy – Understand and serve with compassion
Curiosity – Explore new ideas and question the status quo
Humility – Listen, be grounded, and remain open-minded
Ownership – Love what you do, work hard, and deliver excellence
We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.
We look forward to building the future of lending together.
The full posting opens here — pay, setting and the full description, without leaving the list.