Profitmind is an agentic AI decision intelligence platform for retail teams.
Profitmind’s team of AI agents ranks actions across pricing, promotions, inventory, marketing, and assortment based on…
Profitmind is an agentic AI decision intelligence platform for retail teams.
Profitmind’s team of AI agents ranks actions across pricing, promotions, inventory, marketing, and assortment based on…
Participation from existing backers including AI Fund, Magarac Venture Partners and Lightscape Partners; new investor Thorndale Farm
Investor Signal
“Board / chair includes Andrew Ng; Accenture Ventures led Series A”
Founders
What we do
Join the Team
Head of Engineering
On-SitePittsburgh, PA, US
On-Site • Pittsburgh, PA, US
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Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.
Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale.
Based in Pittsburgh, we’re a fast-growing startup with real customers. Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.
About the role:
We're seeking an exceptional Head of Engineering to lead our technical organization through our next phase of growth. As our engineering leader, you'll build and scale our team, establish technical excellence, and drive the development of products that delight our customers. This is a unique opportunity to shape the engineering culture and technical foundation of an early-stage startup with ambitious goals.
What you’ll do:
Lead engineering teams in designing and implementing scalable, cloud-native architectures for AI-powered, agent-based applications
Drive technical strategy and establish engineering best practices across the organization with an AI-first approach
Oversee the development lifecycle from planning through deployment using modern CI/CD pipelines
Champion security-first development practices and ensure compliance with industry standards
What we’re looking for:
Nice to have:
Expertise in building platform engineering capabilities and developer experience initiatives Knowledge of observability tools and practices, particularly Honeycomb or similar event driven observability platforms
Experience with security frameworks, penetration testing, and compliance requirements (SOC 2, GDPR, HIPAA)
Early-stage startup experience with ability to thrive in ambiguous, fast-moving environments
Experience in retail tech, e-commerce, or similar enterprise software platforms
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
Apply today to join a small, senior team working on problems that sit at the core of how global retailers operate.
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Mentor and develop engineering talent while fostering a culture of innovation and continuous improvement
Build and maintain a hybrid engineering culture with effective collaboration practices across in-office and remote team members
Collaborate with product, design, and business stakeholders to align technical solutions with retail customer needs
Establish and monitor engineering KPIs, system performance metrics, and technical debt management
Lead incident response protocols and ensure high availability of production systems
10+ years of software development experience, including 5+ years in engineering leadership roles
Strong application development background with hands-on experience scaling production systems
Proven track record of scaling engineering teams from ~5 to 50+ engineers
Ability to define
who
to hire and
when
, aligned to business and product priorities
Experience building and maturing software development practices
Deep expertise in modern programming languages, frameworks, and architectural patterns Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS, GCP, or Azure)
Experience building and scaling multi-tenant SaaS platforms
Familiarity with modern data engineering, machine learning operations, or AI/ML infrastructure
Experience with DevOps practices, containerization (Docker, Kubernetes), and infrastructure as code
Experience with database design, optimization, and data architecture strategies
Demonstrated ability to build and lead high-performing remote and distributed teams Excellent communication skills with ability to translate technical concepts for non-technical stakeholders
Strong knowledge of Agile, Scrum, or other iterative development methodologies
