Jobs at Skan AI

Owns reliability, availability, and operational health for cloud-hosted customer environments. Responsibilities include monitoring, P1/P2 incident response, capacity planning, infrastructure automation, change management, runbook maintenance, HA/DR validation, on-call support, SLA/SLO reporting, and proactive risk mitigation. The role also develops agentic workflows for automated alerting, triage, routing, and remediation while reducing operational toil and maintaining at least 99.9% uptime.

Lead end-to-end customer lifecycle for enterprise accounts, driving adoption, value realization, and expansion. Provide strategic consulting, program and stakeholder management, data-driven insights, executive governance, and change management to ensure measurable business outcomes and growth.

Develop and optimize reusable, scalable front-end interfaces for a product web portal using React and related technologies. Translate UI/UX designs into functional code, prototype with libraries, ensure cross-browser compatibility, improve performance, and collaborate with designers, product owners, developers, and stakeholders. The role also guides and reviews front-end development work.

Build, evaluate, and productionize machine learning models and large-scale data pipelines for enterprise process intelligence. Own feature engineering, experimentation, data quality, model monitoring, and customer issue diagnosis. Collaborate with product and engineering, communicate findings to nontechnical stakeholders, and mentor junior data scientists through code reviews, technical guidance, and knowledge sharing.

Build and own production machine learning models and data pipelines for process intelligence, including task detection, workflow segmentation, behavioral analysis, and process discovery. Responsibilities include feature engineering, model evaluation, experimentation, large-scale multimodal data processing, data quality monitoring, production issue diagnosis, and cross-functional communication with engineering, product, customer success, and solutions teams.

Lead and build Skan AI’s L2 technical escalation function. Manage senior engineers, establish escalation and incident processes, troubleshoot complex issues across data, networking, APIs, LLM applications, databases, and platform performance, and partner with Product Engineering on resolutions. Drive root-cause analysis, preventive improvements, documentation, knowledge management, customer communication, and operational metrics.

Owns end-to-end deployment, configuration, maintenance, upgrades, monitoring, and troubleshooting of customer-hosted enterprise software environments. Designs infrastructure architectures, validates readiness, manages incidents and disaster recovery, documents customer environments, and partners with customer IT, DevOps, and onboarding teams. The role also provides technical customer engagement across deployment, support, optimization, and incident response, including on-call participation and root cause analysis.

Lead Skan AI's content function end-to-end: define narrative and editorial voice, build AI-powered content operations, drive thought leadership, SEO, demand-gen/ABM alignment, sales enablement, and performance analytics while managing a cross-functional team and external agencies.

Lead product marketing to define positioning, messaging, GTM strategy, and analyst relations for an enterprise AI/process-intelligence B2B SaaS platform. Build product marketing infrastructure, enable sales, drive launches, customer advocacy, and inform product roadmap through market research and competitive intelligence. Hire and scale the function and present to executive leadership and board.

Own the technical sales process for enterprise AI automation deals, from qualification and proof-of-concept scoping through architecture, security review, pricing, and contract execution. Design deployments across cloud, hybrid, customer-hosted, and on-premises environments while addressing data residency and recording restrictions. Partner with account executives on business cases and commercial proposals, write statements of work and infrastructure requirements, and develop reusable sales assets. The role serves large regulated enterprises with complex, multi-stakeholder sales cycles.

Owns end-to-end technical architecture for strategic customer deployments, including enterprise technology discovery, gap analysis, integration design, deployment model selection, HA/DR planning, and cloud connectivity. Presents solutions to CTOs and IT leaders, coordinates DevOps, Security, onboarding, and client teams, and oversees architecture approval through go-live. Develops reusable reference architectures and ensures deployments are integration-ready, secure, and operationally sound.

Owns inbound and outbound pipeline generation, including targets, account strategy, messaging, qualification, forecasting, and reporting. Builds and manages the BDR team through hiring, onboarding, ramp certification, coaching, performance management, and career development. Partners with sales, marketing, partnerships, enablement, and revenue operations to improve pipeline quality and coverage. The role also directly prospects into strategic enterprise accounts and develops scalable processes for B2B SaaS sales development.

Generate qualified pipeline in Fortune 500 enterprise accounts through targeted inbound and outbound outreach. Research accounts, develop personalized messaging, cold call senior stakeholders, qualify discovery conversations, and hand off well-documented opportunities to Strategic Account Directors. Maintain CRM accuracy, use prospecting and AI tools, multi-thread account engagement, and provide feedback to improve sales playbooks.

Leads the design and maintenance of CI/CD pipelines, infrastructure-as-code, deployment tooling, and DevSecOps controls for cloud, on-premises, and hybrid customer environments. Automates provisioning, upgrades, monitoring, reporting, and change management while improving deployment reliability and reducing operational toil. Collaborates with Systems Engineering and SRE teams, supports customer deployments, tracks delivery metrics, and maintains documentation and reusable playbooks.

Owns the CCO’s customer intelligence and decision-support infrastructure, including customer health and risk models, retention economics, renewal forecasting, executive reporting, operating cadence, Voice of Customer programs, and CS tooling strategy. The role drives cross-functional strategic initiatives, directs analytical support, and influences leadership decisions across Customer Success, Professional Services, Support, Product, Sales, Finance, and Marketing.

Own end-to-end delivery and expansion of agentic AI deployments for strategic enterprise accounts. Serve as a trusted advisor to executive stakeholders, coordinate Engineering, Product, Customer Success, and Sales, manage risks and milestones, quantify business value, identify account growth opportunities, and provide structured customer feedback to product leadership. Initially operate as a player-coach while building delivery processes and hiring a team.

Lead the analytics function by building Power BI and Superset dashboards, conducting deep-dive analyses, and applying AI and NLP tools to generate insights. Own reporting data observability, SQL and database performance, production support, capacity planning, and platform reliability at scale. Collaborate with customers and cross-functional teams on analytics solutions and roadmap development while building and mentoring a high-performing analytics team.

Lead Skan AI’s customer marketing function, building advocacy, community, advisory board, storytelling, reference, loyalty, co-marketing, and review-platform programs. Partner with Sales, Product, Customer Success, and Communications to turn customer outcomes into credible stories that accelerate enterprise revenue. Develop account-level advocacy plans, case studies, videos, announcements, executive programs, and customer proof tailored to regulated-industry buyers.

Own Skan AI Agents’ product positioning and agentic AI category narrative. Translate technical capabilities into messaging for enterprise executives and operations leaders, coordinate cross-functional product launches, create thought leadership and sales enablement materials, develop competitive intelligence, and support customer proof points. Partner closely with product, engineering, sales, and customer success teams to communicate how reliable, governed, auditable AI agents operate in regulated enterprise workflows.

Owns the end-to-end deal desk process, including deal structuring, pricing governance, discount approvals, contract handoff, and exception escalation. Leads RFP/RFI intake, response coordination, content libraries, timelines, and submissions. Administers CPQ and RFP tooling, maintains pricing guardrails, and develops reporting on deal cycle time, discount trends, approval performance, and RFP win rates. Partners with Sales, Legal, Finance, Security, and Product to improve commercial processes and response quality.