Kinective
Overview
Ready to be a part of the company transforming FinTech and how the world accesses banking services? Kinective connects a historically “boring” industry to the latest fintechs, modernizing how banking is accessed and used. Kinective is the connector that bridges technology gaps and helps modernize banking. Our team of 300+ works to make life easier for our clients and pave the way for banks and credit unions to modernize banking for everyone. Director of Engineering (Data & Software) – Responsibilities
Lead the planning, execution, and delivery of software, data, and AI/ML engineering initiatives. Build and evolve a scalable data and machine learning platform that supports analytics, predictive models, and intelligent applications. Oversee engineering practices for data pipelines, model training, deployment, and monitoring. Develop and mentor high-performing engineering teams, driving technical excellence and professional growth. Partner with Product Management to define roadmaps, estimate projects, track development progress, and ensure successful launches. Establish technical goals and architectural standards aligned with business objectives. Recruit, onboard, and retain diverse technical talent while cultivating a collaborative culture. Collaborate with product, engineering leadership, and agile coaches to define and track KPIs for success. Oversee operational budgets for technology stack, infrastructure, and personnel. What you’re great at
Analytical thinker with an entrepreneurial mindset and a bias for action. Strong architectural and design expertise in modern software, data, and AI/ML systems. Hands-on familiarity with machine learning lifecycle management (MLOps) and integrating ML into production systems. Excellent problem-solving, decision-making, and prioritization skills. Skilled communicator with the ability to influence across technical and business stakeholders. Builder of positive, learning-oriented team cultures that encourage innovation and ownership. Qualifications
7+ years of experience in software engineering, data engineering, or product development. 5+ years of experience leading and scaling high-performing technical teams. Expertise with cloud technologies (AWS preferred) and modern data/ML platforms. Strong familiarity with Agile methodologies, Git, JIRA, and collaborative engineering practices. Experience with DevOps/DevSecOps and MLOps tools. Proven experience applying AI/ML techniques to deliver business value. Background in a high-growth technology company preferred. Why Kinective
We are transforming our industry and empowering customers to choose any system, technology, or provider to scale innovation efforts and integrate with their banking core. We are the first to pursue this approach in our space. We value customers and have a strong track record with high retention and great partnerships. Life and Benefits
We offer a comprehensive benefits package, flexible PTO, medical, dental, vision, and other coverage. Base pay ranges from $160,000 – $180,000 and is complemented by a Total Rewards package including a discretionary bonus plan, commission program, or equity offerings where applicable. All U.S.-based Kinective employees are offered benefits that support health, well-being, and financial security, including: 401(k) with company contributions Flexible paid time off and holidays Parental and caregiver leave Comprehensive health coverage Life and disability insurance Wellness resources and professional development Office Expectation
HYBRID role, with an expectation of 3 days in-office per week. Hours are 8-5pm. Compensation
Base salary: $160,000 – $180,000. The total rewards package varies by role and candidate, and may include bonuses, equity, and other incentives. Other
All U.S.-based Kinective employees receive a comprehensive benefits package. Please note that this role does not currently offer sponsorship opportunities. Take a deeper dive into Kinective at kinective.io and click Apply if you’re the right fit. We encourage you to apply even if you’re not sure you meet every requirement.
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Ready to be a part of the company transforming FinTech and how the world accesses banking services? Kinective connects a historically “boring” industry to the latest fintechs, modernizing how banking is accessed and used. Kinective is the connector that bridges technology gaps and helps modernize banking. Our team of 300+ works to make life easier for our clients and pave the way for banks and credit unions to modernize banking for everyone. Director of Engineering (Data & Software) – Responsibilities
Lead the planning, execution, and delivery of software, data, and AI/ML engineering initiatives. Build and evolve a scalable data and machine learning platform that supports analytics, predictive models, and intelligent applications. Oversee engineering practices for data pipelines, model training, deployment, and monitoring. Develop and mentor high-performing engineering teams, driving technical excellence and professional growth. Partner with Product Management to define roadmaps, estimate projects, track development progress, and ensure successful launches. Establish technical goals and architectural standards aligned with business objectives. Recruit, onboard, and retain diverse technical talent while cultivating a collaborative culture. Collaborate with product, engineering leadership, and agile coaches to define and track KPIs for success. Oversee operational budgets for technology stack, infrastructure, and personnel. What you’re great at
Analytical thinker with an entrepreneurial mindset and a bias for action. Strong architectural and design expertise in modern software, data, and AI/ML systems. Hands-on familiarity with machine learning lifecycle management (MLOps) and integrating ML into production systems. Excellent problem-solving, decision-making, and prioritization skills. Skilled communicator with the ability to influence across technical and business stakeholders. Builder of positive, learning-oriented team cultures that encourage innovation and ownership. Qualifications
7+ years of experience in software engineering, data engineering, or product development. 5+ years of experience leading and scaling high-performing technical teams. Expertise with cloud technologies (AWS preferred) and modern data/ML platforms. Strong familiarity with Agile methodologies, Git, JIRA, and collaborative engineering practices. Experience with DevOps/DevSecOps and MLOps tools. Proven experience applying AI/ML techniques to deliver business value. Background in a high-growth technology company preferred. Why Kinective
We are transforming our industry and empowering customers to choose any system, technology, or provider to scale innovation efforts and integrate with their banking core. We are the first to pursue this approach in our space. We value customers and have a strong track record with high retention and great partnerships. Life and Benefits
We offer a comprehensive benefits package, flexible PTO, medical, dental, vision, and other coverage. Base pay ranges from $160,000 – $180,000 and is complemented by a Total Rewards package including a discretionary bonus plan, commission program, or equity offerings where applicable. All U.S.-based Kinective employees are offered benefits that support health, well-being, and financial security, including: 401(k) with company contributions Flexible paid time off and holidays Parental and caregiver leave Comprehensive health coverage Life and disability insurance Wellness resources and professional development Office Expectation
HYBRID role, with an expectation of 3 days in-office per week. Hours are 8-5pm. Compensation
Base salary: $160,000 – $180,000. The total rewards package varies by role and candidate, and may include bonuses, equity, and other incentives. Other
All U.S.-based Kinective employees receive a comprehensive benefits package. Please note that this role does not currently offer sponsorship opportunities. Take a deeper dive into Kinective at kinective.io and click Apply if you’re the right fit. We encourage you to apply even if you’re not sure you meet every requirement.
#J-18808-Ljbffr