Jobs at Skan AI

Owns the administration, optimization, scalability, monitoring, reliability, and architecture of PostgreSQL, MongoDB, and Databricks environments. Responsibilities include performance tuning, schema configuration, observability, autoscaling, capacity planning, production troubleshooting, maintenance, high availability, disaster recovery, incident response, and data analysis support. The role designs resilient, cost-efficient data platforms at very high volumes and partners with engineering, analytics, and product teams.

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.

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.

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.

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.

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.

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.

Owns sales enablement for a B2B SaaS go-to-market team, including new-hire onboarding, certification, sales methodology training, coaching, playbooks, partner-motion enablement, and performance analysis. The role diagnoses rep skill gaps using win/loss reviews, call recordings, manager input, and field feedback, then designs targeted interventions and measures their effect on ramp time, win rates, and quota attainment.

Own strategic BFSI enterprise accounts, serving as executive sponsor, commercial owner, and trusted advisor. Responsibilities include developing account plans, leading QBRs, managing renewals, negotiating contracts, driving upsell and cross-sell expansion, forecasting revenue, mitigating account risk, and ensuring measurable customer outcomes. The role requires engaging C-suite stakeholders and collaborating with delivery, solutions, value engineering, product, marketing, services, and partnerships teams to expand adoption of AI and automation solutions.

Own CRM data quality, pipeline intelligence, sales methodology, and voice-of-field to design agentic workflows and targeted enablement. Build onboarding and certification, deliver coaching, measure impact on pipeline health, adoption, ramp time, win rates, and close the feedback loop between sales, systems, and enablement.