Jobs at Skan AI

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.

Design, develop, optimize, and deploy machine learning and deep learning models for automation and business applications. Build end-to-end ML pipelines, perform feature engineering, apply MLOps practices, and optimize production systems for scalability, latency, and efficiency. Collaborate with data scientists and product teams while researching advanced AI techniques, LLMs, multimodal AI, and other state-of-the-art methods.

Design, build, optimize, and deploy AI/ML systems that analyze large-scale sequential enterprise event data. Responsibilities include process discovery, activity classification, clustering, sequence modeling, graph neural networks, computer vision, NLP, LLM integration, temporal data mining, anomaly explanation, and agentic AI capabilities. The role requires translating complex business-process challenges into algorithmic solutions and collaborating with product, UX, and customer-facing teams.

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.

Own Skan AI’s partner marketing strategy across technology, consulting, and GSI partners. Develop joint go-to-market programs, campaigns, value propositions, enablement content, campaign kits, and partner portals. Manage partner budgets, MDF, co-marketing commitments, events, and sponsorships. Track sourced pipeline, influenced revenue, and campaign ROI while reporting to executives and coordinating with sales, marketing, customer success, product, and external partner stakeholders.

Embed with enterprise customers to understand workflows, specify agent behavior, build and integrate AI agents, configure guardrails and human oversight, validate performance, conduct user acceptance and shadow-mode testing, lead production go-lives, and measure business impact. The role requires strong Python and SQL, cloud experience, AI or data/ML product development, and excellent customer communication.

Embed with enterprise customers to understand workflows, specify agent behavior, author decision logic, build and integrate AI agents, and deploy them with governance and human oversight. Responsibilities include calibration, user acceptance testing, shadow-mode validation, production launches, monitoring, and measuring business impact. The role requires strong Python and SQL, cloud experience, production or prototype AI/ML delivery, and excellent customer communication.

Designs and maintains CI/CD pipelines, infrastructure-as-code templates, deployment tooling, and DevSecOps controls for cloud, on-premises, and hybrid customer environments. Automates provisioning, upgrades, patching, monitoring, and operational reporting while supporting Systems Engineering and collaborating with SRE. The role also tracks deployment metrics, remediates pipeline failures and configuration drift, supports change management, documents processes, and contributes to agentic workflow automation.

Owns end-to-end AI-native architecture and integration design for customer engagements, spanning pre-sales solutioning through delivery. Defines reference architectures, design patterns, quality standards, and architecture reviews. Frames customer needs around business outcomes and designs agentic systems using perception, reasoning, planning, bounded autonomy, contextual memory, multi-agent orchestration, telemetry, governance, and runtime observability. Balances AI economics, scalability, hallucination containment, auditability, and adaptive human-AI operating models.

Own and grow a portfolio of strategic BFSI enterprise accounts. Drive renewals, upsell, and expansion ARR while serving as executive sponsor and trusted advisor. Build multi-year account plans, lead QBRs, mitigate risk, and partner cross-functionally to ensure measurable customer outcomes and platform adoption. Maintain C-suite relationships and deliver against NRR and expansion targets.

Own strategic BFSI enterprise accounts as the executive sponsor and commercial owner. Responsibilities include developing account plans, leading QBRs, managing executive relationships, driving renewals and expansion, negotiating contracts, forecasting revenue, identifying upsell and cross-sell opportunities, mitigating account risks, ensuring measurable customer outcomes, and coordinating delivery, solutions, value engineering, product, marketing, services, and partnerships teams.