Top Tech Jobs & Startup Jobs in Lexington, KY

Leads customer discovery, requirements workshops, stakeholder interviews, process analysis, and solution design for M-Files implementations. Defines integrations, technical architectures, acceptance criteria, documentation, testing, deployment, migration, and training. Partners with project management, product, and R&D teams; identifies AI and automation opportunities using Claude; mentors consultants; supports presales and manages multiple customer engagements.

Own marketing measurement from initial engagement through closed-won revenue. Manage cross-channel reporting tied to Salesforce pipeline, tracking across GA4, advertising platforms, SEO, and AI search. Validate multi-touch attribution, analyze marketing experiments, model budget impact, and recommend investment priorities. Present performance insights to marketing and sales leadership across global regions.

Manage enterprise BlackLine implementation projects from presales through delivery. Lead customer, partner, and internal stakeholder relationships; develop project plans, budgets, timelines, and delivery strategies; oversee scope, risks, resources, milestones, quality, and financials; resolve escalations; communicate status; and identify upsell opportunities. The role requires managing complex, concurrent projects in a revenue-driven SaaS or professional services environment.

Design, develop, test, deploy, and monitor scalable backend systems for a payroll SaaS product. Build APIs and microservices, collaborate with product and engineering teams, participate in code reviews, and own the full development lifecycle in a continuous delivery environment. The role emphasizes Kotlin, Scala, or Java, cloud platforms, automated testing, relational databases, scalable architecture, and responsible use of AI coding tools.

Lead product security assessments and penetration testing across MongoDB products and cloud environments. Conduct threat modeling, code analysis, architecture reviews, vulnerability verification, and attack research. Use AI and automation to improve assessment workflows, collaborate with engineering teams on remediation and secure coding, and advise on container security and secrets management. Coordinate with red and detection teams while mentoring others and communicating findings to technical and non-technical stakeholders.

Own product-led growth strategy across onboarding, activation, retention, monetization, cross-sell, and expansion. Lead AI-powered experiences, experimentation, A/B testing, and data-driven optimization across the travel and spend management platform. Partner with engineering, design, data, sales, account management, and marketing to connect product activity with revenue opportunities and deliver customer value.

Develop and implement data science strategies for machine learning applications including lead scoring, churn modeling, pricing, personalization, and fraud detection. Own end-to-end initiatives spanning data analysis, feature engineering, model training, inference, and monitoring. Collaborate with engineering, infrastructure, analytics, and business teams to deliver measurable impact, improve data capabilities, and communicate findings to technical and non-technical stakeholders.

The Senior Data Analyst will lead metrics definition, reporting, statistical analysis, experimentation, dashboard management, and pricing analytics. The role involves building data pipelines, collaborating with data engineers on data assets and feature stores, investigating complex business questions, and translating analytical findings into strategic recommendations for product, pricing, and senior leadership. Strong SQL, statistics, econometrics, communication, and cross-functional collaboration skills are essential.

Drive B2B growth by building partnerships with benefit consultants and health plan sales teams. Lead consultative sales conversations from prospecting and discovery through positioning, follow-up, and employer opportunity development. Apply healthcare sales expertise, understanding of funding arrangements, medical plans, EAP programs, and claims economics. Maintain disciplined CRM and pipeline management while traveling up to 20% and leveraging West Coast relationships.

Own enterprise healthcare technology sales for TigerConnect Smart Room, building relationships with clinical and technology executives, managing territory pipelines, conducting solution demonstrations, forecasting opportunities, maintaining CRM data, and closing new-logo and expansion business. The role requires consultative selling across complex, multi-stakeholder healthcare sales cycles and deep expertise in Smart Room software, displays, integrations, EHR feeds, and clinical communication workflows.

Owns product strategy, roadmaps, prioritization, discovery, and delivery for software, data, and AI products supporting behavioral healthcare. Partners with engineering, clinical, community, operations, and executive teams to translate care models into workflows and product features. Leads user research, experimentation, analytics, and field pilots to improve care delivery and outcomes.

Leads the technical direction, architecture, and delivery of developer-facing desktop, web, and MCP surfaces for Pfizer’s internal developer platform. Provides hands-on software engineering leadership, ensures secure and privacy-first designs, guides cross-team delivery, mentors engineers, oversees code quality and DevOps practices, and leads incident response and continuous improvement. The role influences teams without direct reports and requires expertise across frontend, desktop, backend, developer tooling, enterprise software delivery, and technical architecture.

Support 4–8 clients by analyzing digital experience data, connecting technical findings to business outcomes, identifying root causes, and expanding platform adoption. Manage complex engagements, present analyses and proof-of-concept results, coordinate with Support and account teams, create executive value reports, and mentor newer analysts. The role requires prioritization across multiple client teams and occasional travel for annual meetings or strategic client engagements.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.