VP of Software Engineering
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Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Department:
Job Summary
The worlds largest organizations rely on Evident to help them protect their business and brand from third-party risk. Our game-changing technology - which enables the secure exchange of risk data like proof of insurance identity business registration and other information - helps our customers verify that their partners have all of the required credentials to do business.
In todays new remote-first ever-changing regulatory environment our secure privacy-first enterprise platform accessible via web portal or API provides a highly scalable and configurable solution to manage communications storage decisioning and ongoing monitoring of credentials.
Evident is a VC-backed technology startup headquartered in Atlanta GA. Learn more at .
Were looking for a VP of Software Engineering to lead and scale our software engineering organization as we build ambitious SaaS products in an AI-first way.
Youll join an existing engineering team and be responsible for engineering execution organizational effectiveness technical direction and the systems and practices that allow us to build and ship great software at high velocity. Youll help shape an environment where AI is not treated as a side initiative but as a natural part of how modern software gets built.
This role is ideal for someone who combines strong technical judgment with the ability to build high-performing teams and leaders. You should be energized by the challenge of scaling both product and organization at the same time: improving execution raising the bar on engineering quality and building an operating model that helps the company move faster as technical and product complexity increase.
Key Responsibilities
- Engineering Leadership & Organizational Scale
- Lead and grow the software engineering organization including hiring org design leadership development and performance management.
- Build a high-accountability high-trust engineering culture centered on ownership speed quality and customer impact.
- Establish clear operating rhythms decision-making frameworks and delivery discipline so teams can execute effectively as the company scales.
- Develop engineering managers and senior technical leaders who can extend your impact across the organization.
- Technical Leadership & Product Delivery
- Own engineering execution across the product and platform ensuring teams ship high-quality SaaS capabilities with speed predictability and strong operational performance.
- Guide architectural decisions and technical strategy across application platform data and integration layers.
- Set and uphold strong engineering standards around code quality testing observability reliability security and maintainability.
- Make pragmatic technology and investment choices that balance near-term delivery long-term scalability and business impact.
- AI-First Software Development
- Define and lead an AI-first engineering model in which AI is embedded into day-to-day software development workflows across the SDLC.
- Evaluate implement and standardize the use of AI tools across the SDLC (e.g. coding assistants LLM-based code review test generation documentation incident analysis developer productivity tooling).
- Design workflows where AI is in the loop for:
- Requirements refinement and spec drafting
- Architecture exploration and design docs
- Code generation refactoring and modernization
- Test case creation and regression detection
- Documentation runbooks and onboarding material
- Production troubleshooting and operational analysis
- Establish guidelines best practices and guardrails for safe and effective AI use (e.g. security privacy IP data handling quality standards).
- Measure the impact of AI-enabled workflows and scale the practices that meaningfully improve throughput quality and team effectiveness.
- Org & Process Leadership
- Partner with product and company leadership to define how we plan build and ship software in an AI-first environment.
- Introduce and refine processes operating cadences and tooling that increase throughput improve predictability and reduce cycle time.
- Build an engineering organization that can scale without losing quality urgency or technical rigor.
- Create mechanisms for experimentation continuous improvement and shared learning across engineering.
- Coaching & Mentorship
- Coach engineering managers and senior technical leaders on organizational leadership execution and engineering quality.
- Help teams evolve their workflows from basic AI-assisted development to more sophisticated use of AI in complex engineering tasks.
- Provide guidance through architecture reviews design reviews operating reviews and technical decision-making.
- Foster an environment of high standards strong feedback and continuous growth.
- Collaboration & Strategy
- Collaborate closely with product design and other stakeholders to ensure were solving the right problems and investing in the right technical capabilities.
- Help define the roadmap for platform developer tooling and engineering investments that unlock greater leverage over time.
- Communicate clearly with leadership about progress risks organizational health and opportunities to increase engineering impact.
- Serve as a strategic partner in company planning helping align engineering priorities with broader business goals.
Required Skills & Qualifications
- Must have 8 years of professional software engineering experience including significant leadership experience in SaaS or cloud software environments.
- Proven experience leading engineering teams and organizations in a scale-up environment where both product complexity and organizational complexity are increasing.
- A track record of building and shipping sophisticated software products in a modern stack (e.g. cloud-native services microservices/SaaS APIs data-heavy systems workflow-driven platforms).
- Demonstrated experience leading organizational and technical evolution e.g. scaling teams improving engineering execution platform migrations process redesign or adoption of new development practices and tools.
- Hands-on familiarity with AI/LLM tools for software development and strong judgment about where AI materially improves leverage quality and speed.
- Strong system design and architectural skills with the ability to guide scalable maintainable architectures and communicate trade-offs clearly.
- Excellent communication skills and the ability to lead through growth complexity and changing ways of working.
- Strong people leadership skills including hiring coaching managers and developing senior engineering talent.
Preferred Qualifications
- Experience integrating AI- or LLM-based capabilities into production systems or internal engineering workflows.
- Background in developer productivity platform engineering or building internal tools and systems for engineers.
- Experience in a high-growth or scale-up environment where speed ambiguity and prioritization are central to success.
- Familiarity with data privacy security and compliance considerations in the context of SaaS platforms and AI-enabled tooling.
- Experience working on products that involve complex workflows intelligent automation data-rich systems or sophisticated integrations.
Why Evident
Our team solves a crucial problem with huge business potential together and we are able to see exactly how our contribution affects customers!
Competitive pay package including base pay and stock options
Full medical dental vision benefits and 401K
Unlimited PTO
Paid parental leave to support you and your family
Home internet stipend virtual events & more!
Recently named one of Atlantas Coolest Companies & 50 on Fire by Atlanta Inno
Recently named one of the Top 10 Fastest Growing Companies in Atlanta & one of the Best Places to Work in Atlanta by Atlanta Business Chronicle
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Exec
Key Skills
- React Native
- AI
- Enterprise Software
- React
- Node.js
- Redis
- AWS
- Software Development
- IOS
- Team Management
- Product Development
- Mobile Applications
About Company
Enhance third-party risk management with Evident's automated platform. Streamline vendor compliance and proactively manage risks with ease.
