Top Tech Jobs & Startup Jobs

Leads the design, deployment, and operation of production AI/ML and LLM systems. Responsibilities include building data and ML pipelines, managing model registries and feature stores, developing CI/CD and experimentation frameworks, operating cloud training infrastructure, implementing observability and guardrails, and ensuring security, compliance, reliability, and performance. The role also guides architecture, incident response, governance, and cross-functional collaboration while mentoring engineers and transitioning models from research to production.

Supports deal desk operations by building and reviewing Salesforce CPQ quotes, managing Ironclad approvals, validating pricing and contract data, and maintaining booking accuracy. The role triages requests, coordinates with Legal, Accounting, Systems, and Salesforce administrators, tests workflow improvements, prepares reporting, and documents processes. It requires strong spreadsheet, communication, analytical, and detail-oriented skills in a high-volume B2B SaaS revenue operations environment.

The Data Scientist will use SQL, Python, statistics, machine learning, and AI/LLMs to solve business problems involving customer behavior, marketing effectiveness, conversion, revenue, and forecasting. Responsibilities include data preparation, feature engineering, predictive modeling, experimentation, workflow automation, model deployment and monitoring, and communicating actionable recommendations to technical and business stakeholders.

Designs, configures, and improves Salesforce CRM workflows, automations, and business processes for global Sales and Account Management teams. Gathers requirements, translates them into scalable solutions, supports lead routing and data management, evaluates GenAI use cases, and manages enhancements through testing, rollout, documentation, and user support. Collaborates with Information Systems, RevOps, integration, development, and business stakeholders.

Design and maintain automated testing frameworks for cloud-scale distributed systems. Build performance, load, stress, integration, API, end-to-end, chaos, security, and infrastructure tests. Integrate continuous testing into CI/CD pipelines, analyze observability data, validate Kubernetes and microservices environments, and collaborate with Engineering and SRE teams to improve reliability. The role also participates in on-call rotations and helps establish QA strategy and standards across GPU infrastructure, serverless endpoints, storage, billing, and event-driven systems.

Lead financial decision-making for provider and patient growth engines. Own the revenue model, forecasting, capital allocation, unit economics, annual planning, monthly forecasting, and GTM headcount and capacity planning. Build and lead the GTM Finance function, including hiring, coaching, analytical infrastructure, dashboards, reporting, and AI-enabled workflows. Partner with business leaders to evaluate CAC, LTV, payback, channel performance, and growth investment decisions.

Own the website growth roadmap across SEO, GEO, AEO, experimentation, analytics, and conversion. Lead keyword and content strategy, technical SEO audits, A/B testing, AI-search visibility, dashboards, and pipeline reporting. Partner with web, content, product marketing, demand generation, and sales teams to improve website performance. Define implementation requirements, review content, support SEO creation, and use analytics and AI tools to drive measurable growth.

Manage technical operations supporting critical applications, infrastructure, internal and external helpdesks, and major IT initiatives. Partner with DevOps and SecOps on cloud infrastructure, security, monitoring, logging, incident management, SLA compliance, and alerting. Establish operational metrics, staffing coverage, escalation processes, and reporting while leading and mentoring a high-performing team in a growing SaaS environment.

Leads and scales Hi Marley’s analytics function, managing analysts and hiring as the team grows. Establishes trusted company metrics, self-service analytics, standards, and an analytics roadmap. Partners with Product, Customer Success, Growth, Marketing, Finance, and Data Engineering on product, customer, revenue, financial, billing, marketing, experimentation, and utilization analysis. Develops people, communicates insights to executives, and drives data-informed decisions across the organization.

Designs and manages complex multilayer avionics PCBs, including component libraries, placement, routing, fabrication and assembly drawings. Develops design standards and review checklists, manages software licenses, and coordinates PCB procurement with vendors. Collaborates with avionics, mechanical, and operations teams while owning PCB design outcomes for aerospace vehicles and ground support equipment.