Top Tech Jobs & Startup Jobs

Perform day-to-day accounting for a high-growth SaaS company, including monthly close reconciliations, accruals, journal entries, accounts receivable, accounts payable, billing support, cash application, invoice follow-up, vendor payments, and resolving billing tickets. Work remotely and independently while coordinating with the finance team and Pacific Time customers.

Own enterprise accounts receivable and billing operations for a fast-growing SaaS company. Build invoicing, collections, cash application, and controls from scratch; manage enterprise disputes, aging, DSO, and usage-based contracts; select and automate billing tools; collaborate with Sales, Customer Success, customers’ AP teams, and contract accountants; and report on AR health while establishing scalable finance processes.

Own internal IT operations, including employee onboarding and offboarding, device configuration, troubleshooting, SaaS and identity administration, hardware inventory, office technology, endpoint compliance, access reviews, and SOC 2 support. Build automations for SaaS provisioning, hardware lifecycle management, and IT workflows while improving documentation, security practices, and employee productivity.

Lead end-to-end deployments of Retell's voice AI platform, guiding discovery, designing conversational workflows, building prototypes, driving technical delivery, creating ROI models, and advising executives to ensure successful production launches and adoption.

Deploy and scale AI voice agents for enterprise customers. Build conversation flows and integrations, debug APIs, webhooks, SIP, telephony, authentication, latency, and production issues, and work in customer codebases when needed. Partner with Product and Engineering to address product gaps, support customer growth, and launch new use cases. The role requires Mandarin and English fluency, strong technical problem-solving, customer communication skills, and Pacific Time overlap.

Build and maintain technical security and compliance controls across SOC 2, ISO 27001, HIPAA, and enterprise frameworks. Automate evidence collection, access reviews, security checks, and compliance workflows; support audits; address security questionnaires; monitor controls for access, infrastructure, data protection, logging, and vulnerabilities; and improve scalable compliance systems.

Sources candidates for technical and go-to-market roles by building outbound pipelines, conducting targeted research, creating personalized outreach, and tracking conversion metrics. Uses LinkedIn Recruiter, Juicebox, Ashby, and automation to generate qualified candidate pipelines. Tests sourcing strategies, follows up persistently, maintains accurate candidate records, and independently meets weekly activity and conversion goals while working Pacific Time hours.

Owns enterprise deal approvals from quote to cash, including pricing, discounts, usage commitments, payment terms, margin modeling, and legal and billing handoffs. Builds approval matrices and pricing guardrails, monitors deal metrics, and automates workflows. Partners closely with Sales, Finance, and Legal to structure profitable deals quickly. The role requires enterprise SaaS deal desk experience, including deals exceeding $300,000, and reports directly to the founder.

Build Retell AI’s legal function and serve as Sales’ primary partner on enterprise transactions. Responsibilities include negotiating MSAs, DPAs, BAAs, and order forms; creating contract templates, negotiation playbooks, and turnaround SLAs; advising on voice AI issues such as consent, TCPA, AI disclosure, and use-case reviews; and managing platform terms, privacy policies, acceptable-use policies, and outside counsel.

Own post-launch relationships and net revenue retention across enterprise accounts. Responsibilities include driving product adoption and consumption, managing renewals and expansions, using usage data to build commercial cases, conducting QBRs, negotiating renewals, and partnering with Product and Engineering on customer blockers. The role requires post-sales experience at a B2B software company, commercial ownership, executive communication, and comfort with usage analytics and technical concepts.