talentpluto

Manage end-to-end data lifecycle and collaborate with teams to ensure quality data for machine learning. | 2+ years in consulting, strategy, or operations with adaptability and curiosity. | Location: United States (remote) Work Model: Fully remote Industry: AI / human data (audio and voice) Compensation: Up to $200K base, plus equity About the Company Our partner is an audio and voice focused human data company that operates more like a research lab than a services shop. Rather than building one-off custom data sets, they create and own off-the-shelf data sets they can iterate on, guided by in-house research and product leadership. They partner long-term with leading research labs and major technology companies. The Opportunity As a Data and Product Operations Lead, you will own data sets end to end, from conception through delivery, treating the data itself as the product. You will partner across product, research, engineering, and deployment to define goals for each data set, manage the project to a high quality bar, and problem-solve how the data will perform when used to train machine learning models. Responsibilities Own data sets end to end, from conception through delivery Partner with product, research, and deployment teams to define goals for each data set Manage projects on the company's data platform, including onboarding speakers and coordinating QA Work closely with engineering on bug fixes, noise reduction, and automation Hold the quality bar, prioritizing quality over speed and volume Problem-solve with researchers and ML engineers on how data will perform in model training Requirements 2+ years of experience in consulting, strategy and operations, or heavy operations roles Strong generalist who can work across many functions and adapt as priorities shift Comfort grinding through intense work in an output-focused environment Low ego, naturally curious, and humble Bonus: background in PE/IB, MBB consulting, marketplace or heavy-operations companies, or early-stage startup ops

Build and ship full-stack features focusing on backend systems, data pipelines, and AI-driven capabilities while collaborating on product direction. | 5-7 years full stack experience with strong TypeScript, React, some Python, product mindset, and startup familiarity. | Location: United States (remote) Work Model: Fully remote Industry: B2B SaaS / AI-powered data and automation software Compensation: $210K base, ~$250-260K total compensation including equity About the Company Our partner is an early-stage, venture-backed B2B software startup building AI-powered products that move and transform data and automate complex workflows. The company recently closed its Series A (roughly $15M raised to date) and grew revenue nearly 4x in the first half of the year. It is a fast-moving environment with plenty of greenfield problems to solve and real influence over the product. The Opportunity As a Senior Full Stack Engineer, you will work across the stack, spanning frontend, backend, and the data pipelines and agentic/AI workflows at the core of the product. This is a backend-leaning, product-focused role: you will take customer feedback, help shape product direction, and ship features end to end. The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal for durable workflows, a monorepo), so you can move quickly on genuinely hard problems. You will join a small, senior engineering team during a period of rapid growth, with meaningful equity and a direct line to the founders. Responsibilities Build and ship features across the full stack, with an emphasis on backend systems Design and maintain data pipelines and data-movement workflows Contribute to agentic and AI-driven product capabilities Take customer feedback and help shape product direction, not just execute tickets Collaborate closely with a small, senior team in a fast-moving codebase Requirements 5-7 years of full stack engineering experience (4+ considered on the lower end) Strong proficiency in TypeScript and React, with some Python Product-minded engineer who can form opinions and contribute to product direction Demonstrable use of AI tools in your day-to-day workflow Startup experience preferred Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic infrastructure

Build and ship full-stack features focusing on backend systems, data pipelines, and AI-driven product capabilities. | 5-7 years full stack experience with TypeScript, React, some Python, product-mindedness, and AI tool usage. | Location: New York, NY Work Model: Hybrid Industry: B2B SaaS / AI-powered data and automation software Compensation: $210K base, ~$250K-$260K total compensation including equity About the Company Our partner is an early-stage, venture-backed B2B software startup building AI-powered products that move and transform data and automate complex workflows. The company recently closed its Series A (roughly $15M raised to date) and grew revenue nearly 4x in the first half of the year. It is a fast-moving environment with plenty of greenfield problems to solve and real influence over the product. The Opportunity As a Senior Full Stack Engineer, you will work across the stack, spanning frontend, backend, and the data pipelines and agentic/AI workflows at the core of the product. This is a backend-leaning, product-focused role: you will take customer feedback, help shape product direction, and ship features end to end rather than simply working through a ticket queue. The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal for durable workflows, a monorepo with no microservices), so you can move quickly on genuinely hard problems. You will join a small, senior engineering team during a period of rapid growth, with meaningful equity and a direct line to the founders. Occasional customer conversations come with the early stage, but the role is primarily focused on building. Responsibilities Build and ship features across the full stack, with an emphasis on backend systems Design and maintain data pipelines and data-movement workflows Contribute to agentic and AI-driven product capabilities Take customer feedback and help shape product direction, not just execute tickets Collaborate closely with a small, senior team in a fast-moving codebase Requirements 5-7 years of full stack engineering experience (4+ considered on the lower end) Strong proficiency in TypeScript and React, with some Python Product-minded engineer who can form opinions and contribute to product direction Demonstrable use of AI tools in your day-to-day workflow, with the ability to speak specifically to how you apply them Startup experience preferred; candidates from later-stage startups are welcome if they can articulate why they want an early-stage environment Able to work onsite in New York City five days per week Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic infrastructure

Manage full-cycle enterprise SaaS sales, develop strategies for healthcare and home care markets, and build relationships with complex decision-making teams. | At least 3 years of successful SaaS enterprise sales experience, ability to close large deals, and strong prospecting and relationship skills. | Enterprise Account Executive Location: Flexible within the U.S.; significant travel required Work Model: Hybrid / Field-Based Industry: Healthcare SaaS / AI Compensation: Competitive base salary + commissions, OTE up to $300,000 (50/50 split) About the Company Our partner is a high-growth healthcare SaaS startup using AI to transform how care is delivered. Backed by strong investors and operating with a high-velocity, innovation-focused culture, the team has built a personable brand that customers remember and trust. The company serves home care organizations across the country and is now expanding its enterprise go-to-market motion. The Opportunity This is a full-cycle Enterprise Account Executive role responsible for driving large, complex deals from pipeline generation through close. You will take ownership of an existing enterprise pipeline while also building new opportunities within a fast-moving and collaborative environment. As the organization scales, this role offers a clear path toward expanded scope—including the potential to lead an enterprise sales team nationally. You will work closely with a seasoned Head of Sales and an early, tightly aligned go-to-market team. Responsibilities Own the full enterprise sales cycle: prospecting, qualification, solution presentation, multi-stakeholder management, negotiation, and closing Develop and execute strategies for selling into home care organizations and other enterprise-level accounts Manage and advance an inherited enterprise pipeline while sourcing new opportunities Navigate complex buying processes involving multiple decision makers Represent the company at industry events, conferences, and field-based meetings Collaborate with the Head of Sales and broader GTM team to refine playbooks, messaging, and sales operations Maintain accurate forecasting, CRM hygiene, and reporting Serve as a trusted advisor to prospects by deeply understanding their workflows, challenges, and goals Requirements 3+ years of experience as an Account Executive with demonstrated closing success Proven ability to win complex, multi-stakeholder SaaS deals—ideally $500K+ ACV or equivalent complexity Experience selling in dynamic, resource-constrained, or earlier-stage environments (e.g., lesser-known companies, emerging products) Strong prospecting skills and comfort running a true full-cycle motion Excellent communication, discovery, and relationship-building skills Willingness to travel extensively for customer meetings, events, and in-person collaboration Healthcare or home care experience is beneficial but not required Comfort working in a fast-paced, high-innovation environment with evolving processes