Top Tech Jobs & Startup Jobs

Lead enterprise sales for Sierra’s Consumer Business Insights vertical. Responsibilities include prospecting, building executive relationships, managing complex six- and seven-figure deals, negotiating contracts, developing sales strategies, closing large accounts, and collaborating with marketing, product, technical, legal, finance, and operations teams. The role also requires using AI tools for account research, outreach, call summaries, forecasting, and deal execution.

Drive complex enterprise sales cycles from prospecting through close, managing six- and seven-figure deals and $1M+ quotas. Build C-suite relationships, multi-thread accounts, map stakeholders, manage risk, and develop deal strategies. Partner with executives and co-founders for high-impact engagements, lead deal teams, and use AI tools for research, outreach, forecasting, and execution. Analyze market trends and deliver data-driven sales decisions across consumer and business-focused industries.

Own full-cycle recruiting for business roles (GTM, Ops, Finance, People), partner with hiring managers, source and close candidates, improve hiring processes, and report recruiting metrics.

This role involves designing and demonstrating product solutions, collaborating with various teams, and leading customer engagements to understand their needs in AI solutions.

The Product Manager for Ghostwriter will define AI interactions for agent development, collaborate with engineering, and drive product adoption.

Design and implement a secure payments infrastructure, ensuring sensitive data is handled correctly. Extend tokenization platform and facilitate compliance for seamless payment processing.

Lead cross-functional security and infrastructure programs end-to-end across cloud, IAM, detection, vulnerability management, and secure delivery. Own program planning, risk tracking, and execution; shape security strategy; build security foundations (identity, access, logging, detection, incident readiness); translate ambiguous AI-related risks into measurable programs; and align stakeholders including engineering, security, product, legal, and executives.

Design and implement security controls across product, platform, and infrastructure. Threat model designs, review code and architectures, find and remediate vulnerabilities, improve detection and response, and automate security workflows and developer-friendly tooling to scale security across the company.

Build and ship security-first systems across backend services, APIs, and infrastructure. Own identity, access control, auditability, and data lifecycle primitives. Secure agentic AI by enforcing runtime policies, sandboxing agents, and preventing data leakage. Automate security workflows and developer tooling (CI/CD checks, schema validation, runtime monitoring).

Lead customer trust, security, and compliance for AI products by shaping AI governance, translating regulation into technical controls, supporting customer audits, partnering with Legal/Product/Engineering, and improving automation and resilience for global, region-aware compliance.