Top Tech Jobs & Startup Jobs in Fayetteville-Springdale-Rogers,

Build and maintain scalable frontend platform features in a client-facing environment. Collaborate with designers, engineers, and stakeholders, contribute to technical design and code reviews, improve performance and stability, support testing and releases, and help maintain internal tooling and long-term system ownership.

Own the full enterprise sales cycle for strategic accounts: prospecting, executive discovery, demos, negotiations, and closing six- and seven-figure SaaS deals. Build territory and account plans, maintain pipeline and forecasts in Salesforce, and collaborate with Solutions Engineering, Marketing, Customer Success, and Product to drive new logos and expansions.

Work directly with customers to design, deploy, and integrate end-to-end AI evaluation pipelines. Curate data, define annotation schemes, set up LLM-based judges, run initial experiments, produce actionable results, and translate technical systems into practical workflows for users.

Early-career role building AI-powered agents and automated marketing workflows, running enablement (office hours, training, coaching), triaging AI use requests, documenting reusable prompts and workflows, and supporting onboarding of new AI tools. Work closely with senior AI marketing leaders to scale adoption and governance across marketing teams.

Create clear technical narratives and content (solution briefs, whitepapers, blogs, presentations) that explain multi-platform solutions across cloud, AI, and cybersecurity. Own partner solution stories, align messaging across product, alliances, and field teams, enable sales and partners, support events and briefings, and translate architecture-level concepts into business value for technical and executive audiences.

Freelance remote role reviewing images in an online tool to rate technical quality (blur, noise, exposure, compression). Apply guidelines consistently, submit accurate, detail-oriented evaluations, and commit ~20+ hours/week for several weeks.

Evaluate AI-generated responses for business users using your corporate Gmail history. Assess relevance, accuracy, personalization, and identify incorrect personalization or unsupported assumptions. Compare responses, provide clear, structured feedback, follow evaluation guidelines, and maintain data privacy. Work remotely full-time (4–40 hours/week) with required overlap with PST for a 16-week contract.

Build pixel-perfect, responsive web components from style guides and screenshots using TypeScript and CSS3. Ensure accessibility and design-system conformity, optimize UI performance, document work asynchronously, resolve design ambiguities, and contribute domain expertise to train AI systems.

Own and build the end-to-end customer lifecycle function: design onboarding, activation, adoption, engagement, and retention programs; create segmented personalized messaging and automated workflows; run A/B and multivariate tests; analyze behavior and campaign performance; partner with Customer Success and Sales to drive retention and product adoption; maintain a roadmap to improve retention, adoption, and LTV.

Own end-to-end product execution across discovery, delivery, and iteration for SaaS, API, payments, and infrastructure. Engage weekly with users, define roadmaps, partner tightly with Design and Engineering, embed with GTM teams, and track product and feature metrics to deliver fast, scalable, and elegant solutions.

Manage end-to-end project delivery for healthcare initiatives: plan timelines, budgets and resources; coordinate cross-functional teams; mitigate risks; communicate status to stakeholders; lead meetings and ensure on-time, quality outcomes.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Lead and execute end-to-end growth marketing: design multi-channel acquisition campaigns, own funnel KPIs, collaborate with Product/Engineering/Sales, develop brand and positioning, analyze metrics, and run experiments to scale user acquisition, engagement, and retention.

Build and own conversational voice AI products end-to-end: architect, implement, and deploy the platform. Design infrastructure, develop front-end and back-end systems, deliver reliable customer outcomes, and collaborate directly with the CTO to scale the product for enterprise customers.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Serve as a strategic, high-touch customer success manager for top creator accounts. Own a portfolio of high-value creators, drive retention and expansion through proactive email strategy, product adoption, data-driven tests, and cross-functional collaboration. Act as a trusted advisor, build account plans, surface creator insights to Product/Marketing, and scale success playbooks.

Lead strategic, high-touch success for 50-75 high-value creator accounts. Build relationships, drive retention and expansion, optimize email strategy, increase product adoption, run tests, surface customer insights, and collaborate cross-functionally to improve creator outcomes and Kit's roadmap.

Serve as primary customer liaison to drive onboarding, adoption, retention, and expansion. Build executive relationships, deliver QBRs, monitor health, resolve escalations, coordinate cross-functional teams, and promote product adoption and roadmap alignment.

Serve as primary customer liaison to drive onboarding, adoption, and retention for enterprise SaaS clients. Build executive relationships, deliver QBRs, monitor health, resolve escalations, promote product adoption, and coordinate cross-functional teams to execute success plans and communicate product roadmap.

Own and build customer health, usage/adoption, and product configuration data models. Produce ad-hoc and recurring analyses to identify upsell/expansion opportunities, partner with CS, Sales, Product, and Data teams, and present actionable insights to leadership to drive revenue-relevant actions.