Top Tech Jobs & Startup Jobs

Build and operate production AI agents and tools on Amazon Bedrock and AgentCore. Own agent quality, retrieval, multi-step workflows, MCP endpoints, evaluation harnesses, regression gates, observability, latency, cost, and runtime guardrails. Measure groundedness, adoption, task success, and customer impact while partnering with Product and engineering teams to improve data and infrastructure. Requires strong Python, AWS, agent engineering, retrieval, evaluation, SQL, product judgment, and cross-functional communication skills.

Own the end-to-end delivery of applied machine learning products, from framing customer problems and building data pipelines to deploying, monitoring, and measuring model impact. Develop models for operational data using Python, SQL, dbt, Snowflake, and AWS; define evaluation and drift monitoring; conduct A/B tests or causal analyses; and partner with product and engineering teams to embed ML into customer workflows.

Manage global SaaS implementation projects from scoping and statements of work through planning, execution, risk mitigation, stakeholder communication, financial control, and closure. The role oversees enterprise and SMB deployments, protects project margins, coordinates international teams, maintains audit-ready documentation, and uses AI and automation to improve efficiency. Domestic travel of up to 25% is required for client meetings and project reviews.

Own the vision, roadmap, and delivery of customer-facing AI, predictive analytics, and SaaS data products. Partner with strategic clients, UX, data science, engineering, sales, and marketing to translate business needs into technical requirements, validate product hypotheses, and launch features that drive adoption, retention, and revenue expansion. Use SQL and data visualization tools to analyze data, communicate insights, and shape intuitive product experiences.

Design intuitive, efficient digital product experiences for non-technical users. Manage projects from discovery and ideation through flows, wireframes, prototypes, validation, and delivery. Collaborate with product managers, engineers, marketing, leadership, and designers; communicate design rationale; apply design systems, accessibility, Jobs-to-be-Done, and user-centered principles. Conduct interviews and usability testing, evaluate customer and business impact, contribute to design system evolution, and mentor peers.

Own the full SMB sales cycle for Pest and Lawn service businesses, from prospecting and inbound lead response through discovery, online demos, proof of concept, negotiation, forecasting, and closing. The role requires maintaining a predictable pipeline, meeting weekly KPIs and quota, using Salesforce, SalesLoft, and 6Sense, and building consultative relationships with small-business stakeholders.

Manage SaaS platform provisioning and enterprise client onboarding, including database environment configuration, payment activation, A2P 10DLC compliance, workflow analysis, and operational governance. Evaluate technical requirements, approve or redirect nonstandard service requests, optimize provisioning processes, troubleshoot delays, and coordinate handoffs with customer success and internal teams. The role requires independent judgment, strong analytical ability, attention to detail, policy enforcement, and experience with enterprise CRM and SaaS workflows.

Sell WorkWave’s end-to-end field service SaaS to mid-market customers: lead discovery with executive stakeholders, navigate complex multi-stakeholder long sales cycles, work with Sales Engineers on demos, build and close multi-million-dollar pipelines, and use sales tools to drive deal progression and strategic prospecting.

Manage and grow a portfolio of mid-market SaaS accounts by building relationships, running QBRs and account plans, uncovering expansion opportunities, delivering tailored demos, managing the expansion sales cycle, meeting ARR quotas, and maintaining accurate forecasting and CRM hygiene.