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<h3>Job Description</h3>
Job DescriptionSoftware Engineer (Intern) | naptha.aiAbout this role
We are seeking exceptional Software Engineering interns to join Naptha AI and contribute to building the future of AI agent infrastructure. This internship offers hands-on experience working with frontier AI technology, backed by industry veterans and technical leaders through NVIDIA Inception, Google for Startups, and Microsoft for Startups.
We're building the foundational infrastructure for the next wave of AI companies, enabling frontier AI developers to build products powered by enormous networks of highly capable next-generation AI agents. As an Engineering Intern, you'll work directly with our technical team on real projects that impact our core platform.
What You'll Do
<ul>
<li>
Build and improve components of our agent infrastructure
</li>
<li>
Work on real features that ship to production
</li>
<li>
Collaborate with experienced engineers and researchers
</li>
<li>
Learn about large-scale AI systems and infrastructure
</li>
<li>
Contribute to our agent development platform
</li>
<li>
Gain experience with cutting-edge AI tools and frameworks
</li>
</ul>
Technical Areas
<ul>
<li>
Backend development with Python and modern frameworks
</li>
<li>
Agent system implementation and testing
</li>
<li>
API development and integration
</li>
<li>
Performance optimization and monitoring
</li>
<li>
Infrastructure and tooling development
</li>
<li>
Testing and deployment automation
</li>
</ul>
Requirements
<ul>
<li>
Currently pursuing BS/MS in Computer Science or related field
</li>
<li>
Strong programming skills, particularly in Python
</li>
<li>
Basic understanding of AI/ML concepts
</li>
<li>
Experience with software development practices
</li>
<li>
Ability to work independently and learn quickly
</li>
<li>
Strong problem-solving abilities
</li>
</ul>
Nice to Have
<ul>
<li>
Experience with AI frameworks or tools
</li>
<li>
Familiarity with distributed systems
</li>
<li>
Open source contributions
</li>
<li>
Experience with developer tools
</li>
<li>
Interest in AI infrastructure
</li>
</ul>
About the internship
<ul>
<li>
Duration: 12-16 weeks
</li>
<li>
Location: Remote
</li>
<li>
Competitive compensation
</li>
<li>
Real-world project ownership
</li>
<li>
Mentorship from experienced engineers
</li>
<li>
Opportunity for return offers
</li>
</ul>
This internship offers a unique opportunity to work on cutting-edge AI infrastructure while learning from experienced technical leaders. You'll gain practical experience building systems that power the next generation of AI applications.

Software Engineer (Intern)

<h3>Job Description</h3>
Job Description
At Continua, we've built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. It's early days for this specific Continua product, but we think we're on to something.
Try adding Continua to your group texts to kick its tires! We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level.
This a hybrid position that can be based in Seattle, WA or New York, NY.
What you'll do:
You'll work on building and improving the best LLM group chat experience there is. This includes:
<ul>
<li>
Fine-tuning models to boost conversational quality and improve scalability.
</li>
<li>
Owning new ideas for engaging features and working across the stack (i.e. not just in Jupyter notebooks) to take them from concept to production.
</li>
<li>
Identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users.
</li>
<li>
Leading technical decision making to find solutions which are both innovative and practical.
</li>
</ul>
 Who you are:
You're an experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP). You're detail-oriented when it matters to make sure things get done right, but also know how to strike the balance between speed and perfection in a fast-moving startup environment. You:
<ul>
<li>
Know the pitfalls and tricks for building with LLMs, especially RAG systems
</li>
<li>
Have experience with the level of obsession over detail needed to produce high quality ML systems.
</li>
<li>
Are experienced and comfortable building backend systems and working across a code base, not just in Jupyter notebooks.
</li>
<li>
Are experienced writing Python (knowing Go is a plus)
</li>
<li>
You know how to work independently to handle ambiguity
</li>
</ul>
We're willing to compromise on years of experience for the right candidate who brings energy, intelligence, and a passion for our mission.
A little about us:
Our team is a fantastic bunch of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people.
Compensation &amp; Benefits:
We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history!
To apply:
Toapply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.”
We welcome referrals! If you know someone exceptional for this role, please email us at <a href="mailto:jobs@continua.ai" target="_blank">jobs@continua.ai</a>.

Senior Machine Learning Engineer

<h3>Job Description</h3>
Job Description
About Voyant Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system.
Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond.
Position Overview We are seeking a Senior Production Test Engineer to lead the development and implementation of scalable, high-throughput test infrastructure for both our silicon photonics wafer-level production and our integrated LiDAR sensor end-of-line (EOL) testing.
You will be responsible for defining and executing test strategies at multiple stages of the manufacturing process—at the wafer level for photonic devices, and at the module/system level for LiDAR units. This is a highly cross-functional role working closely with Systems, Photonics, Electrical, Firmware, and Manufacturing Engineering teams to ensure performance, yield, and reliability from prototype to volume production.
Key Responsibilities
<ul>
<li>
Define and implement end-of-line test strategies for LiDAR sensors, validating system-level performance (range, velocity, reflectivity, etc.).
</li>
<li>
Lead the development of photonic wafer-level test (WLT) strategies and tooling in collaboration with photonic design and foundry partners.
</li>
<li>
Develop automated test fixtures and software to support both EOL and WLT in a production setting.
</li>
<li>
Translate lab-level validation methods into robust and scalable production tests across optical, electrical, and mixed-signal domains.
</li>
<li>
Partner with external contract manufacturers and test vendors to stand up and scale production test infrastructure; support factory bring-up and operator training.
</li>
<li>
Drive test coverage, throughput, and cost optimization in both low- and medium-volume manufacturing.
</li>
<li>
Lead root cause investigations for test failures across the stack and work cross-functionally to implement fixes.
</li>
<li>
Own and continuously improve statistical process control (SPC), yield tracking, and test data analytics across the production lifecycle.
</li>
<li>
Support reliability and environmental testing (e.g. thermal cycling, vibration, shock) for product qualification.
</li>
</ul>
Qualifications
<ul>
<li>
Bachelor’s or Master’s degree in Electrical Engineering, Optical Engineering, Physics, or a related discipline.
</li>
<li>
5+ years of experience in production test engineering with a focus on LiDAR systems, photonic components, or optical sensors.
</li>
<li>
Proven expertise in system-level testing for LiDAR, imaging, or other complex electromechanical/optical systems.
</li>
<li>
Hands-on experience developing and deploying automated test setups (Python preferred), including test instrumentation and DAQ systems.
</li>
<li>
Proven track record in statistical process control, yield analysis, and high-volume data-driven decision-making.
</li>
<li>
Demonstrated experience owning test strategy and implementation in a manufacturing or pilot-line environment.
</li>
<li>
Familiarity with test methodologies for photonic integrated circuits or optical wafers (e.g., wafer probing, passive/active alignment, coupling efficiency).
</li>
<li>
Experience interfacing with contract manufacturers and external test vendors.
</li>
</ul>
Preferred Skills
<ul>
<li>
Experience with FMCW LiDAR or coherent optical systems.
</li>
<li>
Familiarity with photonic wafer-level test equipment and alignment automation.
</li>
<li>
Exposure to MES systems, manufacturing analytics platforms, or test data infrastructure.
</li>
</ul>
What We Offer
<ul>
<li>
Competitive salary and meaningful equity package
</li>
<li>
Comprehensive health benefits (Medical, Dental, Vision)
</li>
<li>
Unlimited PTO and paid company holidays
</li>
<li>
Team events and company meetups
</li>
<li>
Hybrid or remote work environment with monthly travel for remote employees.
</li>
<li>
Complimentary lunch provided daily at our NYC office
</li>
</ul>
Equal Opportunity Employer
Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Senior Production Test Engineer - LiDAR

<h3>Job Description</h3>
Job Description🚀 Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together.
From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
&amp;#x1F4BB; The Role
Platform Engineers at Whatnot own the foundations of our main backends, real-time services, and storage systems. The team ensures these core platforms evolve to support rapid product growth while remaining reliable and scalable.
This role is focused on our Python-based main backend and our storage platforms. You will help scale and optimize the runtime, refactor and modularize our codebases, improve storage systems, and build shared platform services and components that underpin the product experience.
You will work on problems like:
<ul>
<li>
Evolving our Python runtime and stack by improving performance, concurrency, memory use, and dependency management.
</li>
<li>
Building and scaling core platform services that provide the foundation for reliability, scalability, and developer velocity across engineering.
</li>
<li>
Optimizing storage systems for consistency, scale, and performance.
</li>
<li>
Embedding observability and reliability patterns into the platform by default.
</li>
<li>
Refactoring and modularizing large-scale codebases to maintain developer velocity and ensure our primary codebases remain a productive environment at scale.
</li>
<li>
Partnering with product and infra teams to deliver platform APIs and abstractions that strike the right balance between velocity and long-term stability.
</li>
<li>
Laying the groundwork for future platform needs, from global expansion to enabling new product capabilities.
</li>
</ul>
This is a highly visible role: the platform team provides the technical foundation that allows Whatnot to scale rapidly while remaining reliable. 
👋 About You
<ul>
<li>
7+ years of backend engineering experience (10+ for Staff-level).
</li>
<li>
Strong experience with large-scale backend systems, ideally Python, but experience in other stacks (Java, Go, Elixir, etc.) welcome.
</li>
<li>
Deep expertise with storage systems (Postgres, DynamoDB, Planetscale).
</li>
<li>
Proven experience building or scaling messaging, notification, or caching systems.
</li>
<li>
Background in refactoring large codebases for scale, performance, and maintainability.
</li>
<li>
Hands-on with runtime and platform optimization such as concurrency models, async patterns, and memory tuning.
</li>
<li>
Familiarity with service reliability and observability practices such as metrics, tracing, circuit breakers, and failure isolation.
</li>
<li>
Comfortable operating in a cloud-native environment such as AWS or GCP with Kubernetes, Docker, and Terraform.
</li>
<li>
Known for setting strong technical standards and for building patterns that other engineers adopt.
</li>
<li>
Bonus: prior experience in a hyper-growth environment. 
</li>
</ul>
🎁 Benefits
<ul>
<li>
Generous Holiday and Time off Policy
</li>
<li>
Health Insurance options including Medical, Dental, Vision
</li>
<li>
Work From Home Support
<ul>
<li>
Home office setup allowance
</li>
<li>
Monthly allowance for cell phone and internet
</li>
</ul>
</li>
<li>
Care benefits
<ul>
<li>
Monthly allowance for wellness
</li>
<li>
Annual allowance towards Childcare
</li>
<li>
Lifetime benefit for family planning, such as adoption or fertility expenses
</li>
</ul>
</li>
<li>
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
</li>
<li>
Monthly allowance to dogfood the app
<ul>
<li>
All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
</li>
</ul>
</li>
<li>
Parental Leave
<ul>
<li>
16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
</li>
</ul>
</li>
</ul>
💛 EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Compensation Range: $190K - $260K

Software Engineer, Platform Engineering

<h3>Job Description</h3>
Job Description🚀 Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together.
From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
&amp;#x1F4BB; Role
The Salesforce Administrator plays a significant role in the development of Whatnot’s Salesforce instance for the Categories and Expansion (CatEx) Team. Working with stakeholders across CatEx, Growth, Data, and Marketing, the Salesforce Administrator is tasked with supporting development of our early-stage Salesforce instance via management of automations, integrations, data hygiene, and sales enablement, as well as maintaining our ongoing environment release schedule. In this role you will:
<ul>
<li>
Support development of Whatnot’s Salesforce environment, including integrations with internal tools, systems configuration and maintenance, notification announcements, environment refresh, and AppExchange products
</li>
<li>
Manage configuration of Salesforce features including user management, security, custom objects, page layouts, validations, workflows, flows, process builders, and other 3rd party applications.
</li>
<li>
Provide frontline support to sales, account management, and launch teams—manage support requests and help troubleshoot issues, answer questions, and optimize their use of Salesforce
</li>
<li>
Develop and maintain Salesforce reports and dashboards to provide insight into marketing and sales performance
</li>
<li>
Develop guardrails to protect data hygiene
</li>
<li>
Work closely with data teams to ensure fidelity and reliability of our data architecture for Salesforce products
</li>
<li>
Work cross functionally with data and engineering teams to develop, manage, and update critical integrations
</li>
<li>
Eliminate manual processes and bottlenecks to reduce user clicks in the platform
</li>
<li>
Help support development of junior admins and analysts through peer coaching and project review
</li>
</ul>
👋 You
Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Salesforce Administrator, you should have 4+ years of experience managing Salesforce in a SaaS or tech-driven environment. You:
<ul>
<li>
Have strong declarative knowledge of Salesforce backend with a particular focus on flow automation builder
</li>
<li>
Are an A+ communicator, always looping in impacted stakeholders and leadership prior to major deployments
</li>
<li>
Have experience managing multiple 3rd party Salesforce integrations such as VOIP systems, data platforms, and other SaaS tools (e.g. Salesloft, Gong, Dialpad etc). 
</li>
<li>
Have experienced hyper growth, are comfortable with frequent change, and can implement with minimal oversight
</li>
<li>
Have a demonstrated ability to solve problems using data and process improvements
</li>
<li>
Have the ability to quickly digest the business needs of our stakeholders and apply deep knowledge of Salesforce to recommend and design solutions
</li>
</ul>
🙏 Nice to Have
<ul>
<li>
Salesforce Certifications
<ul>
<li>
Advance Admin Certification
</li>
<li>
Marketing Cloud Admin Certification
</li>
<li>
Platform App Builder Certification
</li>
</ul>
</li>
<li>
Basic understanding of SQL and Apex languages 
</li>
</ul>
🎁 Benefits
<ul>
<li>
Generous Holiday and Time off Policy
</li>
<li>
Health Insurance options including Medical, Dental, Vision
</li>
<li>
Work From Home Support
<ul>
<li>
Home office setup allowance
</li>
<li>
Monthly allowance for cell phone and internet
</li>
</ul>
</li>
<li>
Care benefits
<ul>
<li>
Monthly allowance for wellness
</li>
<li>
Annual allowance towards Childcare
</li>
<li>
Lifetime benefit for family planning, such as adoption or fertility expenses
</li>
</ul>
</li>
<li>
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
</li>
<li>
Monthly allowance to dogfood the app
<ul>
<li>
All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
</li>
</ul>
</li>
<li>
Parental Leave
<ul>
<li>
16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
</li>
</ul>
</li>
</ul>
💛 EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Compensation Range: $130K - $185K

Senior Salesforce Engineer

<h3>Job Description</h3>
Job Description
Location: US-based (NYC/SF preferred)
About Nen Creative
Nen Creative partners with leading tech startups to launch bold ideas into the world, creating the brands, products, and stories that fuel their growth.
Since 2022, we've partnered with some of the world’s top founders and institutions — including Amazon, Pear VC, Andreessen Horowitz, Mercor, Context Inc, Netic, Listen Labs, Tech Week, the University of Pittsburgh, Somethings, Mantis VC, Spur, Flora, and more.
We’re growing fast and are looking for amazing people to join us. 
What You’ll DoProject Coordination
<ul>
<li>
Track active projects at a high level from kickoff to delivery
</li>
<li>
Flag risks, bottlenecks, or scheduling conflicts early and proactively
</li>
<li>
Maintain project boards and timelines so nothing falls through the cracks
</li>
</ul>
Client &amp; Relationship Support
<ul>
<li>
Partner with leadership to ensure client questions are answered quickly and clearly
</li>
<li>
Build strong, professional relationships with clients while keeping expectations aligned
</li>
<li>
Support client communication so creative and production teams can stay focused on execution
</li>
</ul>
Internal Coordination
<ul>
<li>
Ensure production teams have the right assets, info, and feedback to move forward
</li>
<li>
Facilitate smooth handoffs between sales, partners, and production
</li>
<li>
Keep leadership updated on progress, risks, and resource needs
</li>
</ul>
What We’re Looking For
<ul>
<li>
Exceptional organizational skills and attention to detail
</li>
<li>
Excellent communication skills — clear, diplomatic, and client-ready
</li>
<li>
Ability to stay calm and effective under pressure and deadlines
</li>
<li>
Willingness to be flexible with hours during high-demand periods.
</li>
<li>
Comfortable managing multiple priorities across different stakeholders
</li>
</ul>
Bonus Points
<ul>
<li>
Familiarity with creative production workflows
</li>
<li>
Background in creative agencies, studios, or startups
</li>
<li>
Experience with tools like Asana, Airtable, or similar project management platforms
</li>
</ul>
Why Join Us
<ul>
<li>
Be part of a small, fast-growing creative studio trusted by world-class startups and investors
</li>
<li>
Collaborate with tech founders to help launch innovative products, brands, and stories into the world
</li>
<li>
Work directly with the partners and production leadership, gaining exposure to both creative and business operations
</li>
<li>
Remote-friendly, flexible, and entrepreneurial environment
</li>
<li>
Healthcare coverage, PTO, and company holidays
</li>
</ul>

Project Coordinator

<h3>Job Description</h3>
Job DescriptionAbout the Company
Made’s mission is to help homeowners save time, money, and stress. It starts with Made Card - a credit card designed specifically for homeowners, with unmatched rewards on mortgage payments, home improvements, utilities, and essential purchases. Each swipe powers a personalized home management platform where users can manage home systems &amp; appliances, stay ahead on upkeep, and get help - from AI-driven guidance to in-person services - exactly when they need it most. By bringing together financial tools, data, and trusted professionals, we give people more control, more savings, and more time to enjoy the place they call home.
We’re partnered with leading national players in the residential homeownership space - from mortgage lenders and servicers to real estate brokerages and home improvement providers - embedding Made into the key moments of the homeowner journey. These partnerships let us reach millions of households across the country and deliver meaningful benefits to homeowners.
Backed by top investors like Village Global, Jump Capital, Recharge Capital, and Soma Capital, our leadership team brings deep fintech, mortgage, and credit card experience from Ramp, Bain Capital, JP Morgan Chase, American Express, and Morgan Stanley. We’re building the financial and engagement platform for the next generation of homeowners - one that puts the homeowner at the center, and redefines what it means to feel at home.
About the Role
We’re looking for a Backend Engineer to help build and scale the services that power the Made Card and homeowner platform. You’ll contribute to the design, development, and maintenance of core systems while collaborating closely with product, frontend, and infrastructure teams. This is a role for someone who enjoys solving complex backend problems and wants to grow within a fast-paced startup environment.
What You’ll Do
<ul>
<li>
Feature Development: Build and maintain backend services and APIs using Python.
</li>
<li>
Database &amp; Systems: Design, implement, and optimize data models across Postgres, DynamoDB, and Redis.
</li>
<li>
Infrastructure: Contribute to deployments and scaling using Kubernetes, Docker, and AWS.
</li>
<li>
Collaboration: Partner with frontend engineers, product managers, and designers to deliver end-to-end features.
</li>
<li>
Code Quality: Write clean, maintainable, and testable code while participating in code reviews.
</li>
<li>
Performance &amp; Reliability: Ensure backend services are performant, secure, and resilient.
</li>
<li>
Problem Solving: Debug, troubleshoot, and resolve backend issues across staging and production environments.
</li>
<li>
Continuous Learning: Stay current with backend technologies and bring new ideas to improve our stack and workflows.
</li>
</ul>
Ideal Background
<ul>
<li>
3–5+ years of backend engineering experience.
</li>
<li>
Proficiency in Python and experience building distributed web applications.
</li>
<li>
Familiarity with Postgres, DynamoDB, and Redis for data modeling and optimization.
</li>
<li>
Experience designing and consuming RESTful services.
</li>
<li>
Understanding of Kubernetes, Docker, and AWS infrastructure.
</li>
<li>
Strong problem-solving skills and a track record of delivering production-ready systems.
</li>
<li>
Collaborative mindset with excellent communication skills.
</li>
</ul>
We understand that not everyone comes from a traditional background. If you are a rockstar with a non-traditional path, we'd love to talk to you!
Nice to Have
<ul>
<li>
Experience in fintech, credit cards, or financial infrastructure.
</li>
<li>
Exposure to microservices, event-driven architectures, or streaming systems.
</li>
<li>
Familiarity with CI/CD pipelines, automated testing, and monitoring tools.
</li>
<li>
Passion for building products that improve people’s financial lives.
</li>
</ul>
Why Join Made Now
You’ll be an early backend engineer helping to build the foundation of Made’s core services. This is a rare opportunity to work across databases, APIs, and infrastructure while contributing directly to the architecture and standards that will scale with millions of homeowners.
Benefits
<ul>
<li>
Base Compensation Band: $120,000–$160,000 (determined by experience, qualifications, and location)
</li>
<li>
Compensation: Competitive salary with a meaningful stake in the company via equity, and 401k plan
</li>
<li>
Health &amp; Well-being: We’ll invest in your physical and mental well-being with comprehensive medical, dental, &amp; vision benefits
</li>
<li>
Grow Together: Company-wide orientation for you to successfully onboard and other learning &amp; development opportunities including regular review cycles that feature 360 degree feedback
</li>
<li>
Mortgage Benefit: Receive up to $25,000 toward closing costs of a new mortgage via our mortgage partners
</li>
<li>
Play Together: Quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners!
</li>
<li>
Generous Time Off: Flexible paid time off, sick days, and 11 company holidays
</li>
</ul>
Throughout the interview process, please remember that emails will only be from madecard.com emails. We won't ever be asking for any personally identifiable information during the interview process itself. Please reach out to <a href="mailto:talent@madecard.com" target="_blank">talent@madecard.com</a> if you have any requests to verify the authenticity of an outreach.
 Made Card is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Made Card makes hiring decisions based solely on qualifications, merit, and business needs at the time.
Compensation Range: $120K - $160K

Backend Engineer

<h3>Job Description</h3>
Job DescriptionAbout the Company
Made’s mission is to help homeowners save time, money, and stress. It starts with Made Card - a credit card designed specifically for homeowners, with unmatched rewards on mortgage payments, home improvements, utilities, and essential purchases. Each swipe powers a personalized home management platform where users can manage home systems &amp; appliances, stay ahead on upkeep, and get help - from AI-driven guidance to in-person services - exactly when they need it most. By bringing together financial tools, data, and trusted professionals, we give people more control, more savings, and more time to enjoy the place they call home.
We’re partnered with leading national players in the residential homeownership space - from mortgage lenders to home services providers - embedding Made into the key moments of the homeowner journey. These partnerships let us reach millions of households across the country and deliver meaningful benefits to homeowners.
Backed by top investors like Village Global, Jump Capital, Recharge Capital, and Soma Capital, our leadership team brings deep fintech, mortgage, and credit card experience from Ramp, Bain Capital, JP Morgan Chase, American Express, and Morgan Stanley. We’re building the financial and engagement platform for the next generation of homeowners - one that puts the homeowner at the center, and redefines what it means to feel at home.
About the Role
We’re looking for a Senior Partnership Implementation Lead to own the end-to-end execution of strategic partnerships with Made’s largest national partners. You’ll be the primary point of contact for senior partner stakeholders, manage complex implementation programs, and report directly to Made’s leadership team on partner progress, risks, and opportunities. This role is designed for someone who has successfully led enterprise client or partner onboarding, thrives at managing executive-level relationships, and wants to build scalable processes for partnership success.
What You’ll Do
<ul>
<li>
Partnership Leadership: Own the full execution of partnership launches and ongoing programs with national lenders, servicers, and home service providers.
</li>
<li>
Executive Contact: Act as the primary day-to-day contact for senior partner stakeholders, building strong, trusted relationships.
</li>
<li>
Cross-Functional Alignment: Drive coordination across Product, Engineering, Marketing, and Operations to deliver on complex partner requirements.
</li>
<li>
Program Management: Develop and oversee detailed implementation timelines, track progress, and escalate issues to leadership.
</li>
<li>
Process Leadership: Build repeatable frameworks, playbooks, and best practices for onboarding and managing partnerships at scale.
</li>
<li>
Leadership Reporting: Provide regular updates to Made’s leadership team on partner performance, risks, and growth opportunities.
</li>
<li>
Continuous Improvement: Gather and synthesize feedback from partners and internal teams to refine processes and strengthen collaboration.
</li>
<li>
Mentorship: Guide junior and mid-level team members, helping to build the foundation for a partnerships function that scales with the company.
</li>
</ul>
Ideal Background
<ul>
<li>
7–10+ years of experience in partnership management, client success, or implementation at a high-growth company.
</li>
<li>
Proven track record of leading enterprise partner implementations or complex client onboarding.
</li>
<li>
Exceptional project management skills with the ability to manage multiple high-stakes relationships simultaneously.
</li>
<li>
Excellent executive communication and relationship-building skills.
</li>
<li>
Strong cross-functional experience working with Product, Engineering, and Marketing teams.
</li>
<li>
Highly organized, detail-oriented, and proactive problem-solver.
</li>
<li>
Comfortable presenting to internal leadership and external executives.
</li>
</ul>
Nice to Have
<ul>
<li>
Experience in fintech, real estate, mortgage, or home services.
</li>
<li>
Familiarity with regulated industries and compliance-heavy environments.
</li>
<li>
Experience scaling partnership processes in early- or mid-stage startups.
</li>
<li>
Background in consulting, client services, or enterprise sales support.
</li>
<li>
Personal passion for credit cards, rewards, or homeownership.
</li>
</ul>
Why Join Made Now
You’ll be at the center of delivering on Made’s most strategic partnerships. This role comes with high visibility to company leadership and external executives, giving you the chance to shape how Made works with its largest partners from day one. As the senior lead, you’ll also play a critical role in developing processes, mentoring teammates, and laying the groundwork for a partnerships function that scales with our rapid growth.
Benefits
<ul>
<li>
Base Compensation Band: $140,000–$160,000 (determined by experience, qualifications, and location)
</li>
<li>
Compensation: Competitive salary with a meaningful stake in the company via equity, and 401k plan
</li>
<li>
Health &amp; Well-being: We’ll invest in your physical and mental well-being with comprehensive medical, dental, &amp; vision benefits
</li>
<li>
Grow Together: Company-wide orientation for you to successfully onboard and other learning &amp; development opportunities including regular review cycles that feature 360 degree feedback
</li>
<li>
Mortgage Benefit: Receive up to $25,000 toward closing costs of a new mortgage via our mortgage partners
</li>
<li>
Play Together: Quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners!
</li>
<li>
Generous Time Off: Flexible paid time off, sick days, and 11 company holidays
</li>
</ul>
Throughout the interview process, please remember that emails will only be from madecard.com emails. We won't ever be asking for any personally identifiable information during the interview process itself. Please reach out to <a href="mailto:talent@madecard.com" target="_blank">talent@madecard.com</a> if you have any requests to verify the authenticity of an outreach.
 Made Card is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Made Card makes hiring decisions based solely on qualifications, merit, and business needs at the time.
Compensation Range: $140K - $160K

Senior Partnership Implementation Lead

<h3>Job Description</h3>
Job Description
Akur8 is a young, dynamic, fast growing Insurtech scale-up that is transforming insurance pricing and reserving with transparent machine learning.
Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes.
Powered by skilled R&amp;D, Product &amp; Actuarial teams we’ve developed unique AI algorithms that automate the insurance pricing and reserving in an unprecedented manner.
This results in a pricing solution that enables insurance companies to model risks 10 times faster with greater predictive power than traditional methods, whilst including next-generation reserving features, offering an end-to-end platform that anticipates and accounts for future claims.
Akur8 has already been selected:
<ul>
<li>
In CB Insights Top 50 World Insurtech Companies 2024
</li>
<li>
In Insurtech Global’s Top 100 AIFinTech list 2024
</li>
<li>
In Fintech Global’s Top 100 AIFinTech list 2024
</li>
<li>
In CNBC’s World Top 150 Insurtech Companies 2024
</li>
</ul>
With 42 nationalities on our team and offices in 8 major global cities, Akur8’s solution is international by design, serving over 320 clients across 4 continents, and focusing on mature markets to drive faster growth.
To learn more about Akur8, and what we do, click here.
Akur8 is, in all senses of the term, an equal opportunities employer. Akur8 puts diversity, equality and inclusion at the heart of its values. We examine all applications based on equal skills and applying the principles of non-discrimination.
Becoming an Actuarial Data Scientist is the ideal opportunity to influence the usage of cutting edge advanced machine learning technology in the insurance industry and to have a visible effect on the product roadmap of one of the world’s foremost insurtech companies.
This position interacts with every team at Akur8 to various degrees: Sales, Product, R&amp;D, Marketing, Engineering, and Leadership. You will be a subject matter expert and will act as a translator between all of these departments and the “language” of insurance, actuaries, and our clients. 
Externally, you will work with client contacts such as Heads of Pricing, Heads of Product, CTOs, Actuaries, and Data Scientists.
To be successful, an Actuarial Data Scientist at Akur8 must be:
A Teacher...
...As an ADS, you will lead proof of concepts with potential clients. During this process, you will need to clearly communicate modeling concepts to both highly technical and non-technical audiences. Sometimes, you will be covering highly advanced modeling topics with experienced actuaries, and other times you will be starting from foundational modeling approaches with new modelers.
Creative...
...Akur8’s software is extremely powerful for traditional actuarial tasks, but an ADS is expected to think beyond traditional models and identify creative approaches to use various Akur8 features to answer ad hoc actuarial questions.
A Problem Solver...
...During check-in meetings with clients, you will assist clients by quickly diagnosing any misalignments between a modeler’s potential use of the software and the underlying assumptions behind Akur8.
A Visionary...
...Akur8’s software is in a constant state of development, and feedback from the ADS team is essential to inform Akur8’s roadmap. An ADS is expected to identify potential features or offerings that are beneficial to both the software and the industry, and work with our product team to best define the underlying problem and evaluate potential solutions.
Additionally, you’ll also contribute to white papers and present at conferences or webinars to establish the leadership of Akur8 in the United States and other markets.
Traveling is required for this role for approximately 1 event per month. This includes team-building trips to our Paris office or North American offices, industry conferences, and possibly onsite client meetings.
IMPORTANT: Preference will be given to applicants who can work from our New York office, but remote work is acceptable if you prove to be a very strong candidate based in the Eastern or Central timezones.
The successful candidate must meet each of the following criteria in order to be considered for this position:
<ul>
<li>
A minimum of 7+ years experience in a P&amp;C / General / Health insurance pricing role as a Pricing Actuary, Actuarial Consultant or Data Scientist
</li>
<li>
FCAS credentials
</li>
</ul>
<ul>
<li>
A strong understanding of Data Science and Machine Learning techniques for predictive modeling ; (note, please note that, due to the nature of this role, no coding is involved, even if a knowledge of Python / R / SAS is a strength)
</li>
</ul>
<ul>
<li>
Experience in actuarial data-driven predictive modeling (GLMs / GAMs) &amp; risk analysis in a P&amp;C / General insurance pricing role ;
</li>
</ul>
<ul>
<li>
Ability to understand insurance business imperatives and establish solutions in accordance with them ;
</li>
</ul>
<ul>
<li>
Strong communication skills in order to elaborate on complex technical concepts to both technical / non-technical audiences ;
</li>
</ul>
<ul>
<li>
Readiness to travel when required (approximately 5 working days per month) ;
</li>
<li>
Native-level of English
</li>
</ul>
IMPORTANT: You must possess an employment status that enables you to work in a free and unrestricted manner in the United States of America. We are equally open to candidates currently working in the United States who require a change in visa sponsor.
As a newcomer, you'll be joining a diverse, highly skilled and motivated team, with a strong Tech DNA, colleagues that are eager to share their knowledge and passion.
But it’s not all work, you’ll also be part of a dynamic team that enjoys spending time together and having fun.
In addition to this, we will provide you with:
<ul>
<li>
Competitive salary + annual bonus
</li>
<li>
Health insurance , Dental and Vision coverage
</li>
<li>
Retirement Savings Plans
</li>
<li>
25 days of PTO/year
</li>
<li>
Commuter benefit
</li>
<li>
Gym membership via ClassPass
</li>
<li>
IT equipment allowance
</li>
<li>
Professional development &amp; trainings
</li>
<li>
Team fun: regular company gatherings and team events
</li>
<li>
Fun goodies
</li>
</ul>
Compensation Range: $200K - $250K

Actuarial Data Scientist

<h3>Job Description</h3>
Job DescriptionProduct Data Scientist at Bask Health
At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact.
Why You’ll Love Working at Bask Health
<ul>
<li>Discover actionable insights Seek objective truths through analysis, challenging assumptions, and uncovering the stories hidden in the data to guide decision-making.</li>
<li>Drive meaningful change Apply your analytical, statistical, and technical expertise to generate insights that directly influence our product decisions and business strategy.</li>
<li>Work with advanced tools Utilize cutting-edge techniques like regression analysis, segmentation, and A/B testing to inform product optimization and continuous improvement.</li>
</ul>
Join us and play a pivotal role in shaping innovative solutions that transform telehealth, empower patients, and redefine the future of healthcare.
Requirements
Educational Background
<ul>
<li>Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field.</li>
<li>Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus.</li>
</ul>
Experience
<ul>
<li>3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights.</li>
<li>Experience working with cross-functional teams, including product managers, engineers, and designers.</li>
<li>Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory.</li>
</ul>
Technical Skills
<ul>
<li>Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.</li>
<li>Strong experience with data visualization tools (e.g., Tableau, Looker, or similar).</li>
<li>Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation.</li>
<li>Experience with A/B testing and designing experiments.</li>
<li>Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Google Cloud) is a bonus.</li>
</ul>
Analytical Skills
<ul>
<li>Ability to extract actionable insights from complex datasets.</li>
<li>Strong problem-solving skills and a keen sense of curiosity.</li>
<li>Experience applying machine learning techniques is a plus.</li>
</ul>
Soft Skills
<ul>
<li>Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders.</li>
<li>Strong project management skills, with the ability to prioritize tasks and meet deadlines.</li>
<li>Collaborative and proactive mindset.</li>
</ul>

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