saas.group

80 Total Employees
Year Founded: 2018

Jobs at saas.group

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Recently posted jobs

18 Hours AgoSaved
In-Office or Remote
28 Locations
Information Technology • Software
Senior Platform Engineer on a central Platform team responsible for onboarding and modernizing multiple SaaS brands. Lead migrations, implement IaC and CI/CD, improve observability, reliability, and cost, advise brand CTOs, contribute to central services, collaborate across app/infra boundaries, use AI coding tools in daily infra work, and participate in a lightweight on-call rotation.
YesterdaySaved
Remote
27 Locations
Information Technology • Software
The Senior Platform Engineer will lead infrastructure improvements, manage costs, ensure reliability and security, and support team collaboration on AI projects, all while building the platform roadmap.
8 Days AgoSaved
Remote
27 Locations
Information Technology • Software
Lead product roadmap and a small engineering/QA team for an acquired B2B SaaS brand. Own merchant-facing activities, onboarding, conversion and expansion motions, documentation and processes, and apply AI tooling across support, specs, docs, and analysis to drive growth.
11 Days AgoSaved
Remote
27 Locations
Information Technology • Software
Lead product go-to-market: own launches, positioning, messaging, and sales enablement. Build competitive intelligence, define ICPs and buyer journeys, support partners and ABM campaigns, gather customer feedback, and track feature adoption to influence roadmap and GTM.
12 Days AgoSaved
Remote
27 Locations
Information Technology • Software
Outbound-focused Sales Development Representative responsible for prospecting enterprise accounts, qualifying leads via discovery, scheduling meetings for Sales Executives, maintaining CRM records, and collaborating with Ops and Marketing to grow pipeline for ScraperAPI.
25 Days AgoSaved
Remote
27 Locations
Information Technology • Software
Own and evolve a GCP-native data platform from ingestion to reporting. Lead architecture, reliability, observability, data quality, cost optimization, and AI-assisted engineering practices while mentoring engineers and collaborating with product and customer teams.