Solutions Engineer
Rowspace · New York, NY
- On site
- Full-time
- $150,000 / year
- New York, NY
Job highlights
- Drive revenue by bridging technical solutions and customer workflows.
- Own technical sales cycles from discovery to adoption.
- Work with AI/ML, APIs, and messy financial data.
- Build and iterate alongside founders and engineers.
- Shape product roadmap with customer insights.
About the role
Solutions Engineer - Founding Role
Rowspace is seeking founding Solutions Engineers who excel at the intersection of technical expertise and commercial impact. You will drive revenue by connecting our platform to customers' critical investment workflows, proving its value with their actual data and processes. This role involves transforming messy data from financial services firms into actionable insights and building trust with skeptical investors.
As a builder, you will demo, build, and iterate alongside founders and engineers, enjoying significant agency and autonomy over the entire technical customer lifecycle, from initial technical wins to adoption and expansion.
What You'll Do
- Lead technical discovery and demos, mapping customer workflows and pain points to the Rowspace platform to showcase its value.
- Own the Proof of Concept (POC) and technical win, building on prospect data to demonstrate business impact during the evaluation phase.
- Partner with Account Executives (AEs) on deal strategy, understanding prospect investment behaviors and positioning Rowspace effectively.
- Drive customer adoption and expansion by staying engaged post-sale, helping customers reimagine workflows and identifying opportunities for deeper usage.
- Act as the voice of the customer, providing field feedback to engineering and product teams to shape the product roadmap.
- Develop reusable technical assets and playbooks to streamline future sales cycles and build team knowledge.
What You Have
- 2-5+ years in a technical customer-facing role (e.g., sales/solutions engineer, solutions architect, implementation consultant) or financial engineering/data science with customer-facing experience.
- Technical proficiency with code, APIs, and diverse data environments (PDFs, Excel, CapIQ feeds), comfortable using tools like Claude Code and Cursor.
- Familiarity with AI/ML concepts including RAG, embeddings, LLMs, and unstructured data ingestion.
- Strong sales instincts, with the ability to advance deals, handle objections, navigate organizational dynamics, and win against the status quo.
- High agency and a builder's mindset, with a willingness to wear multiple hats and independently solve problems.
- Excellent communication skills, capable of engaging with CIOs on technical deep-dives and portfolio managers on outcomes.
- Familiarity with financial services, including investor data usage, due diligence, and data accuracy importance, is a plus.
Perks & Benefits
- Health & Wellness: Comprehensive medical, dental, and vision insurance.
- Future Planning: 401(k) plan with employer match.
- Time Off: Unlimited PTO policy.
- Food & Fuel: Monthly commuter stipend, free daily lunch, and stocked office snacks.
- Team Culture: Regular team offsites.
Key skills/competency
- Solutions Engineer
- Technical Discovery
- Proof of Concept (POC)
- Sales Engineering
- Customer Onboarding
- AI/ML Concepts
- Financial Services
- API Integration
- Data Transformation
- Customer Success
Skills & topics
- Solutions Engineer
- Sales Engineer
- Solutions Architect
- Technical Sales
- AI
- Machine Learning
- LLM
- RAG
- Financial Services
- FinTech
- Customer Facing
- SaaS
- Startup
- Data Science
- API
How to get hired
- Tailor your resume: Highlight experience in technical customer-facing roles, AI/ML, and financial services, emphasizing your 'builder' mindset and sales instincts.
- Showcase technical fluency: Detail your experience with coding, APIs, diverse data types, and AI/ML concepts like RAG and LLMs in your application.
- Demonstrate customer focus: Emphasize your ability to lead discovery, own POCs, partner with sales, and drive adoption.
- Research Rowspace: Understand their mission to transform investment workflows with AI and tailor your application to their specific needs and culture.
- Prepare for technical interviews: Be ready to discuss your approach to handling complex data, building solutions, and communicating technical value to finance professionals.
Technical preparation
Practice API integration and data manipulation.,Build mock solutions using RAG and LLMs.,Familiarize with financial data formats (Excel, PDF).,Prepare to demo complex technical concepts.
Behavioral questions
Describe a complex technical problem you solved.,How do you handle skeptical clients?,Give an example of high agency.,How do you translate technical wins to business value?
Frequently asked questions
- What are the key technical skills for a Solutions Engineer at Rowspace?
- For the Solutions Engineer role at Rowspace, key technical skills include proficiency with code, APIs, and various data environments (PDFs, Excel, CapIQ feeds), familiarity with AI/ML concepts such as RAG, embeddings, LLMs, and unstructured data ingestion. You should also be comfortable using development tools like Claude Code and Cursor.
- How does Rowspace leverage AI/ML in its Solutions Engineer role?
- Rowspace utilizes AI/ML concepts, including RAG, embeddings, and LLMs, to power its knowledge engine. Solutions Engineers are expected to understand and demonstrate how these technologies transform unstructured data into actionable insights for financial services clients.
- What is the expected experience level for a founding Solutions Engineer at Rowspace?
- Rowspace is looking for candidates with 2-5+ years of experience in a technical customer-facing role, such as a Solutions Engineer, Solutions Architect, or Implementation Consultant. Alternatively, experience in financial engineering or data science with a customer-facing component is also valued.
- How important is financial services experience for this Solutions Engineer role?
- While not strictly required, familiarity with financial services is a plus for the Solutions Engineer position. Understanding how investors use data, the nature of due diligence, and the importance of data accuracy will be beneficial in demonstrating Rowspace's value to prospects.
- What does a 'builder's mindset' mean for a Solutions Engineer at Rowspace?
- A 'builder's mindset' at Rowspace means having high agency, being comfortable wearing multiple hats, and enjoying the process of creating solutions and figuring things out independently, rather than waiting for explicit instructions. It involves actively contributing to product development and process improvement.
- How does the Solutions Engineer role contribute to Rowspace's product roadmap?
- Solutions Engineers act as the 'voice of the customer,' bringing feedback and signals from the field to the engineering and product teams. This input is crucial for identifying what features should be productized and directly shapes the future product roadmap.
- What are the primary responsibilities of a Solutions Engineer at Rowspace?
- Primary responsibilities include leading technical discovery and demos, owning the Proof of Concept (POC) and technical win, partnering with Account Executives on deal strategy, driving customer adoption and expansion, and providing customer feedback to product teams.