Senior Solutions Engineer

Job Title: Sr. Solutions Engineer

Location: New York, NY (In-office 4x per week “Grand Central”)

Company: Kizen, www.kizen.com  

About Us

Kizen is a leading AI platform for the future of work, redefining how people and AI seamlessly move and improve as one. Founded on the principle that technology should make work more meaningful, Kizen creates AI systems (AKA assistants) that learn, adapt, and improve over time, just like the people who use them.

Today, Kizen powers millions of mission-critical experiences for leading organizations in highly regulated industries like insurance, healthcare, and financial services. Some of the ways we support these teams include: helping insurance agents manage contracting and commissions, enabling healthcare providers to deliver proactive patient care, and empowering financial institutions to classify documents and extract data automatically. We’re solving operational problems and helping the world’s most complex organizations give their teams the tools they need to do more, grow faster and live better.

And this is just the beginning! Kizen is where enterprises get AI that works on day one and is flexible enough to shape it to their own organizations. Our AI-first platform is easy to adopt, scale, and trust making it a destination for developers to build new applications and business teams to customize AI assistants, all in one place.

Join us in transforming how industries work, one person, one workflow, one AI assistant at a time!

About the Role

We are seeking a dynamic Sr. Solutions Engineer to join our growing team. This role will require strong pre-sales experience, along with strong technical implementation experience. In this customer-facing role, you will partner with customer technical teams to drive successful post-sale implementations. Reporting directly to the VP of Solutions (insurance & financial services), you will leverage your technical expertise in enterprise solutions to showcase Kizen's value, solve complex customer challenges, and deploy production ready solutions. 

Key Responsibilities 

What You’ll be Doing

• Owning the technical architecture of client solutions - reconciling competing business, technical, and data requirements into a single coherent design that's actually buildable on the platform
• Leading technical implementation end to end - spending the majority of your time hands-on in Kizen configuring, integrating, testing, and iterating, not just designing on paper
• Transforming client needs into powerful solutions using our low-code platform
• Configuring scalable solutions for clients within Kizen, executing their business requirements
• Guiding clients through the entire deployment journey, from kickoff to go-live
• Owning the solution post-go-live, troubleshooting issues, debugging integrations, and ensuring it runs reliably in the client's real environment
• Working with APIs, automation tools, and data pipelines to build seamless integrations between platforms
• Partnering directly with client development teams on integration design, data flow, and technical implementation
• Cleaning and transforming data to ensure every field lands in the right place, at the right time
• Building test plans and validating solutions against requirements before and after go-live
• Operating in ambiguity and uncovering undocumented requirements and unstated constraints that only surface during implementation
• Identifying solution gaps and translating them into clear, prioritized feedback for the product team
• Leading business discovery and translating complex requirements into clear, actionable technical documentation
• Delivering hands-on training to help clients unlock the full potential of Kizen
• Continuously identifying areas to improve processes using real-time data insights
• Tracking tasks, reporting progress, and proactively clearing blockers to keep things moving fast
• Comfortable occasionally supporting pre-sales scoping and technical conversations as an early team member

Requirements

Minimum Requirements - What You Bring

• 5+ years in SaaS implementation, solution delivery, solutions engineering or hands-on technical consulting
• Successful lead pre/sales activities with enterprise clients. 
• Experience architecting data models and system integrations (APIs, ETL processes), particularly between systems like EMRs, CRMs, ERPs, etc.
• Hands-on experience with data transformation (Excel, Python, ETL/API work)
• Hands-on technology implementation skills (configuring, testing, iterating SaaS solutions)
• Strong debugging and troubleshooting skills across integrations, data pipelines, and APIs
• Comfortable reading documentation and tracing data through unfamiliar systems to diagnose issues
• Demonstrated ability to write clear business and technical requirements
• Takes end-to-end ownership. You measure success by whether the client's solution works in production, not by whether the design was sound
• Able to operate independently and drive a deployment forward without a playbook or a team to lean on
• Solid understanding of business processes, operations, and workflow optimization
• Able to work credibly with both business stakeholders and technical/engineering teams, translating between them
• Fast learner able to quickly ramp into new industries and use cases with confidence and curiosity
• A knack for teaching others - whether it's running a training or creating killer documentation
• Proactive mindset: you don't wait for problems to come to you - you go find them (and fix them)
• Obsessive attention to detail - you take pride in precision
• A growth mindset: you're hungry to learn, adapt, and level up every single day

Ideal Candidate will have:

• Experience in regulated industries like healthcare, (insurance or financial services preferred)
• Successfully led enterprise engagement starting at pre/sales to driving successful implementation.
• Strong technical foundation with the ability to discuss architecture, APIs, and integration patterns fluently
• Fluent in SQL, Excel wizardry, or Python scripting. Prompt engineering experience is a plus
• Understanding of AI, ML, and automation concepts (we can teach this!)
• Familiarity with cloud platforms (AWS, GCP, Azure) and modern software development workflows
• A deep love for tech, data, and using both to drive better outcomes

Location & Culture

This is an in-person role in NYC. We work in a high-performance culture where everyone has outsized impact. If you're excited about working at the pace of a startup while building something transformative we'd love to hear from you.

Why Kizen

We’re a fast-growing company that values innovation, growth, and continuous improvement. By joining Kizen, you’ll play a pivotal role in shaping the future of the company while enjoying a supportive, dynamic, and collaborative workplace. You’ll have opportunities for professional development, impact, and career advancement.

What We Offer

• Career Growth Opportunities
• Engaging Work Culture
• Top-Tier Compensation
• Equity Package
• Healthcare Coverage
• Professional Development Stipends
• PTO 

Kizen is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. At Kizen, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. 

The base salary range for this position is $150,000-$215,000. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer generous equity and benefits packages.

If you’re excited about creating impactful experiences and contributing to a fast-paced, people-focused team, we’d love to meet you!

OTE - $197,000-$262,000. Commission is uncapped. 

Compensation Range

$150,000—$262,000 USD