Truv
Senior Solutions Architect
Truv
$140k - $190k
Worldwide (Remote)

Senior Solutions Architect

Overview

Truv is transforming the financial data industry with a secure and real-time API platform for payroll account access.

Job Description

Our technology streamlines income and employment verification, direct deposit switching, and more—eliminating outdated processes and unlocking greater financial opportunities. Backed by $30M from top investors like Kleiner Perkins and NYCA, we’re disrupting a $2B legacy market with cutting-edge innovation and a customer-first approach. Our leadership team brings expertise from industry giants like Apple, Carta, Venmo, MX, and Okta, driving the future of financial data access.

Responsibilities

  • - Own the technical post-sales relationship with assigned government accounts, serving as the primary point of contact for technical implementation, integration, and optimization.
  • - Develop and execute technical account plans that align our solutions with customers' business objectives and technical environment.
  • - Lead client onboarding, solution design, implementation, and integration projects, collaborating with customers' technical teams and internal engineering resources.
  • - Create and deliver training programs for customer teams.
  • - Proactively identify and resolve technical challenges before they impact customer satisfaction.
  • - Conduct review sessions and health checks to ensure optimal platform utilization.
  • - Monitor customer technical metrics and usage patterns to identify opportunities for expanded adoption.
  • - Partner with Product and Engineering teams to advocate for customer needs and provide market feedback.
  • - Document best practices and contribute to internal knowledge base, guide customers through platform updates, new feature releases, and technical changes.

Required Skills

  • - 5+ years of experience in technical customer success, solutions architecture, or similar customer-facing technical role within B2B SaaS
  • - Proven track record at early-stage startups (50-200 employees)
  • - Minimum 5 year tenure in previous positions, demonstrating stability and impact
  • - Strong technical background with understanding of APIs, integrations, data workflows, and enterprise software architecture
  • - Enterprise account management or customer management experience essential
  • - Strong analytical and problem-solving capabilities
  • - Outstanding communication skills with ability to explain technical concepts to various audiences
  • - Bachelor''s degree in Computer Science, Engineering, or related field
  • - Ability to travel up to 30%

Benefits

  • - Competitive salary and equity package.
  • - Fully Remote.
  • - Health, dental, and vision benefits.
  • - 401(k)
  • - Flexible time off.
  • - Work with cutting-edge technology and innovative customers.
  • - Learn from experienced leadership team from top tech companies.
  • - High-impact role with clear growth trajectory.
  • - Opportunity to shape the future of financial data access.

About the company

Truv was founded to modernize the outdated and often ineffective way financial institutions assess creditworthiness. The idea stemmed from the personal experience of co-founder and CEO Kirill Klokov, who, despite having a stable, high-paying job and an MBA from Stanford, was denied loans by 14 financial institutions due to a low credit score and ultimately received financing only at a 15% APR. Together with co-founder and CTO Ilya Chatsviorkin, he launched Truv to give consumers greater control over their financial data and enable more accurate, inclusive lending decisions. Today, Truv provides a unified, consumer-permissioned data platform that connects directly to payroll providers, employers, gig platforms, and other financial data sources, covering more than 150 million Americans through over 12,800 integrations. By enabling instant verification of employment, income, identity, and other financial information directly from the source, Truv helps organizations make faster, more affordable, and more reliable decisions at scale.


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