123-456-7890
500 Terry Francine St. San Francisco, CA 94158
© 2025 by SYplat
Who we are
SYplat's mission: Empower enterprises with a unified semantic security plane for humans and AI actors—ensuring a secure, risk-aware, trustworthy, compliant, and resilient posture for AI-driven operations.
SYplat is an AI-native security and compliance software product start-up based in Delaware, USA.
We build a semantic security fabric—a unified control plane that governs people and AI actors together—so enterprises can move faster with confidence. Our platform connects identity lifecycle, access control, risk, audit, and data protection on a single knowledge graph, enabling autonomous assurance and secure orchestration across the business. Compliance is embedded into everyday operations: AI agents interpret policy, verify evidence, contain exposure, and coordinate actions—while every decision remains explainable and traceable.
Engineering-led and customer-focused, we design for interoperability with the ecosystems enterprises rely on and the standards they must meet. Our principles are clear: privacy by design, least privilege, explainable governance, and operational resilience. We partner with security, risk, and business teams to replace point tools and manual effort with connected context and outcomes that stand up to scrutiny.
Our mission is straightforward and ambitious: to be the autonomous trust fabric for identity and control in every AI-driven enterprise—helping organizations stay secure, prove it, and create value responsibly.
Where you’ll work: US (remote).
What you'll do
Role summary: Translate business and user problems into clear product outcomes, roadmaps, and specifications for SYplat’s platform (Identity Lifecycle & Access, Risk, Audit/Assurance, Data Protection & Privacy, AI-agent governance). Drive discovery, define PRDs, maintain the backlog, and partner with Design/Engineering to ship increments that meet acceptance, product-standard, and security criteria. PM/PO owns acceptance; Senior PM/Architect provides direction and quality oversight.
How we operate
How we build: We do not follow traditional product development. We use AI tools, LLMs, AI agents, and natural-language–guided AI pair programming (“vibe-coding”) to accelerate learning and delivery.
Enablement & supervision: We provide templates, SOPs, code scaffolds, curated prompts, and hands-on enablement for platforms, workflows, and secure engineering practices. A Senior Architect will be involved at all phases for guidance and direction (including initial hand-holding/mentoring), while you progressively learn and own end-to-end deliverables.
Culture: We empower team members end-to-end to achieve our shared goals, while grounded in values and respect.
What you bring
AI-assisted product operations
• Use LLMs/AI agents to draft PRDs, user stories, acceptance criteria, mockups, test charters, and release notes; maintain a reusable “product assets” library (problem statements, research summaries, decision logs, evaluation datasets).
• Orchestrate AI-assisted competitive scans, customer interview guides, and metric deep dives; keep sources and assumptions traceable.
Discovery & definition
• Run structured discovery (problem framing, JTBD, personas, scenarios); map value streams for enterprise security workflows.
• Break down outcomes into epics/stories with Definition of Ready/Done; specify guardrails for AI-agents-as-identities, SoD checks, and evidence capture.
• Partner with UX to prototype flows (access request, attestation, exception handling, evidence vaults) and validate with users/stakeholders.
Backlog, delivery & acceptance
• Groom/prioritize with RICE/GIST/impact mapping; maintain a clear roadmap (now/next/later) aligned to OKRs.
• Drive sprint ceremonies, unblock teams, and ensure acceptance evidence (tests, logs, analytics events) meets product standards and security criteria.
• Write crisp release notes, demos, and how-to guides; coordinate enablement with Sales/Success.
Compliance & risk-by-design
• Embed DPP, security baselines, and auditability into requirements (masking/TTL, least privilege, structured telemetry, evidence snapshots).
• Track regulatory readiness signals (e.g., SOC2/ISO controls alignment, EU AI Act considerations) in specs and acceptance checks.
Analytics & outcomes
• Define success metrics per feature (adoption, task success, time-to-evidence, false-positive/negative rates, reviewer effort, MTTR/MTTD deltas).
• Set up dashboards/alerts with Engineering; review weekly and trigger iterations or experiments.
In short
You will operate at the intersection of users, engineering, security/privacy, and business outcomes—primarily across Microsoft Azure/Entra ecosystems, selected SAP/enterprise security products, and SYplat’s graph/RAG/agentic components—using AI-assisted product workflows end-to-end.