
2 - 10 employees
Founded 2021
đ Security
âïž SaaS
đ€ B2B
Security âą SaaS âą B2B
SDKIntel is a small, focused team that provides deep mobile SDK intelligence for iOS and Android apps, concentrating on verticals such as EU fintech and banking. They decrypt and analyze app binaries (including tamper-hardened iOS binaries) to map third-party SDKs inside apps, producing confidence-scored detections and structured intelligence briefs (JSON, XLSX, PDF) and data feeds. Their customers include SDK vendors, security & compliance teams, and M&A/investment teams; offerings include bespoke vertical briefs, movement tracking, switch-target lists, competitor footprint maps, and analyst walkthroughs. Their methodology emphasizes binary-level analysis, strict confidence criteria, and vertical-scoped reports delivered on a cadence.
đ„ 13 hours ago
Improve your chances of getting an interview by checking your resume score before you apply.

2 - 10 employees
Founded 2021
đ Security
âïž SaaS
đ€ B2B
Security âą SaaS âą B2B
SDKIntel is a small, focused team that provides deep mobile SDK intelligence for iOS and Android apps, concentrating on verticals such as EU fintech and banking. They decrypt and analyze app binaries (including tamper-hardened iOS binaries) to map third-party SDKs inside apps, producing confidence-scored detections and structured intelligence briefs (JSON, XLSX, PDF) and data feeds. Their customers include SDK vendors, security & compliance teams, and M&A/investment teams; offerings include bespoke vertical briefs, movement tracking, switch-target lists, competitor footprint maps, and analyst walkthroughs. Their methodology emphasizes binary-level analysis, strict confidence criteria, and vertical-scoped reports delivered on a cadence.
âą Lead the strategy, roadmap, and operations of enterprise applications âą Own the enterprise applications roadmap as a product portfolio âą Prioritize features, integrations, and technical debt using RICE or value-vs-effort frameworks âą Partner with business leaders to translate functional requirements into technology solutions âą Conduct structured discovery with stakeholders through interviews, journey mapping, and requirements workshops âą Oversee vendor relationships, licensing, upgrades, and integrations across the application ecosystem âą Ensure applications meet security, compliance, and scalability standards âą Develop and execute the organization's data strategy âą Oversee enterprise data platforms, including data warehouses, data lakes, reporting, and analytics tools âą Drive adoption of self-service BI and analytics across the business âą Define and track adoption and value metrics for data and BI initiatives âą Establish policies for data ownership, stewardship, and lifecycle management âą Identify opportunities to leverage AI, automation, and advanced analytics âą Lead modernization initiatives, including data platform consolidation âą Align enterprise systems with digital transformation initiatives âą Apply product discovery and validation through pilots, MVPs, and phased rollouts âą Own Product Management responsibilities for LiveNexus products, including roadmap, requirements, backlog prioritization, and release planning âą Build and mentor a team of application administrators, data engineers, and BI specialists âą Promote collaboration between IT, business stakeholders, and external vendors âą Manage budgets, contracts, and project portfolios âą Act as product owner for cross-functional stakeholders and balance competing business requests through transparent prioritization
âą 8+ years of experience in product management or data platform leadership âą 4+ years owning a product roadmap at an organizational level âą Experience owning product roadmaps and backlogs, including requirements definition, prioritization frameworks such as RICE or MoSCoW, and release planning âą Experience defining and tracking product or platform success metrics, including adoption, quality, and usage âą Experience developing and executing a data strategy covering governance, quality, security, and accessibility âą Experience with data platforms and BI/analytics tools such as data warehouses, Tableau, Power BI, or Looker âą Experience driving self-service BI adoption across business teams âą Familiarity with enterprise CRM/ERP platforms such as Salesforce âą Familiarity with cloud infrastructure such as AWS, Azure, or GCP âą Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a related field, or equivalent professional experience âą Excellent leadership, communication, and cross-functional stakeholder management skills âą Preferred: formal Product Management or Product Owner experience on a customer-facing SaaS or AI product âą Preferred: Product Management certification such as Pragmatic Institute, CSPO, or CSM âą Preferred: direct experience with AI-driven products or solutions in an enterprise setting âą Preferred: certifications such as TOGAF or DAMA-DMBOK âą Preferred: hands-on Salesforce administration or enterprise application operations experience âą Preferred: Master's degree or MBA âą Preferred: experience in highly regulated industries such as healthcare, finance, or BPO
âą Remote work opportunity âą Flexible workforce model âą Access to cutting-edge technology âą Global, distributed work environment âą Agile, high-touch customer support solutions
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