.png){kind=logo}
Senior Solutions Engineer serving as a technical partner across pre-sales and post-sales activities. Responsibilities include discovery, solution design, product demonstrations, proof-of-concepts, implementation planning, onboarding, integrations, customer training, technical documentation, feedback collection, and expansion support. The role requires collaboration with Sales, Customer Success, Product, Engineering, and Data teams while supporting financial institutions and fintechs using AI-powered KYB, KYC, AML, fraud detection, and identity verification solutions.
Worth AI is looking for a Senior Solutions Engineer to be a key technical partner throughout the pre-sales and post-sales lifecycle. In this role, you'll bridge the gap between complex customer requirements and Worth's AI-powered KYB, KYC, AML, and identity verification platform working closely with Sales, Customer Success, and Engineering to drive successful outcomes for financial institutions and fintechs of all sizes.
Responsibilities- Partner with the sales team as a technical expert during discovery, scoping, and solution design while owning the technical narrative from first call through close.
- Lead and deliver tailored product demonstrations and proof-of-concept engagements that map Worth's capabilities directly to a prospect's compliance, onboarding, and underwriting workflows.
- Develop and execute detailed implementation plans, timelines, and success criteria for new client deployments, ensuring smooth handoffs and a fast time-to-value.
- Serve as the primary technical point of contact during onboarding, coordinating across internal engineering, product, and data teams to resolve integration questions and unblock client teams.
- Design and deliver customer training programs and technical documentation to drive platform adoption and self-sufficiency.
- Capture and synthesize client feedback post-implementation, partnering with Product to translate real-world use cases into roadmap input.
- Collaborate with Customer Success Managers to identify expansion opportunities, close training gaps, and build enablement materials that support long-term account health.
- Stay current on FinTech, RegTech, and AI trends particularly in KYB/KYC, AML, fraud detection, and SMB lending and bring that context into client conversations and internal strategy discussions.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years in a Solutions Engineering, Sales Engineering, or Technical Implementation role within FinTech, RegTech, or a B2B SaaS platform serving financial institutions; startup or high-growth software environment experience is a strong plus.
- Hands-on technical skills in SQL, Node.js, and React; comfortable working directly with developer teams on integration scoping, troubleshooting, and technical validation.
- Working knowledge of AI technologies and their applications in FinTech; experience with KYB, KYC, AML, or fraud/identity verification workflows is a significant advantage.
- Demonstrated ability to lead complex, multi-stakeholder implementations with competing timelines and technical requirements.
- Exceptional communication skills able to translate technical concepts clearly for compliance officers, operations leaders, and C-suite stakeholders alike.
- Strong problem-solving aptitude and a customer-first mindset; you treat client outcomes as your own.
- Proven ability to operate both collaboratively and independently in a fast-paced environment.
- Familiarity with project management methodologies and tools (Jira, Monday.com, or similar)
Benefits
- Health Care Plan (Medical, Dental & Vision)
- 401 (k)
- Life Insurance
- Flexible Paid Time Off
- 9 paid Holidays
- Work From Home
- Free Food & Snacks (for those in Orlando, FL)
Similar Jobs at Worth
Artificial Intelligence • Fintech • Software • Financial Services
Owns the design, implementation, and operation of third-party integrations, public APIs, SDKs, and internal connectors. Builds resilient event-driven systems using Node.js, TypeScript, PostgreSQL, Kafka, Redis, and Kubernetes. Responsibilities include system design, performance optimization, production incident response, legacy-code refactoring, API versioning, monitoring, technical leadership, mentoring, and cross-functional collaboration.
Top Skills:
KafkaKubernetesNest.JsNode.jsPostgresReactRedisRest ApisTypescript
Artificial Intelligence • Fintech • Software • Financial Services
Manage onboarding, implementation, training, and ongoing relationships for fintech clients using AI-driven underwriting and decisioning solutions. Own a book of business, drive adoption and account growth, resolve workflow and integration issues, lead client meetings and QBRs, monitor success metrics, gather product feedback, and collaborate internally to improve customer outcomes.
Top Skills:
AIHubspotLinearMonday
Artificial Intelligence • Fintech • Software • Financial Services
Design and ship production-grade agentic AI systems for KYB, underwriting, case review, and risk monitoring. Own agent architecture, retrieval, tools, evaluation, observability, MLOps, reliability, and compliance guardrails. Partner with AI, product, platform, security, and legal teams to turn ambiguous product opportunities into deployed features. Mentor engineers and establish practices for safe, measurable, and reliable LLM systems in regulated financial environments.
Top Skills:
Anthropic ClaudeArgocdAWSBraintrustClaude Agent SdkDatadogEksKafkaKubernetesKustomizeLambdaLangchainLangfuseLanggraphLangsmithLlamaMcpMistralMskNode.jsOpenaiOpenai SdkOpensearchPgvectorPostgresPythonRdsRedisRedshiftS3TerraformTypescriptVector Databases
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
