San Francisco, CA
AI-powered workforce management for customer support
Assembled builds a unified platform combining workforce management and AI agents to staff and orchestrate human and AI support teams. It serves customer support leaders at companies like Etsy, Robinhood, and Stripe, enabling efficient scaling across chat, email, and voice. This reduces wait times, boosts CSAT, and optimizes operations without spreadsheets.
Designs intuitive, data-rich B2B software for support operations, including workflows for AI agents, analytics, planning, and configuration. The role requires 3+ years of production product design experience, strong systems and interaction design, customer research, and close partnership with product and engineering.
Leads the design system for a B2B product, defining visual foundations, reusable interaction patterns, documentation, and governance across teams. The role requires strong visual craft, systems thinking, Figma expertise, frontend collaboration, and interest in AI-native design workflows.
Leads the customer Deployments function, overseeing technical onboarding, implementation strategy, services revenue, P&L planning, and a team of Deployment Strategists. The role requires customer-facing leadership, professional-services experience, operational discipline, and the ability to build scalable deployment processes.
Manage a portfolio of customers to drive adoption, outcomes, renewals, and expansion of Assembled's customer support platform. Build relationships with executive stakeholders, conduct business reviews and trainings, and serve as the voice of the customer to inform product and GTM improvements.
Senior Product Manager owning scheduling and forecasting for Assembled's Workforce Management platform. Partner closely with customer support operations teams at top brands to build AI-powered tools that optimize capacity planning, automate shifts, and handle enterprise complexity in multi-channel environments. Requires 5+ years enterprise B2B SaaS PM experience.
Lead technical deployment projects and build customer relationships during onboarding for Assembled's AI-powered customer support platform. Guide customers through implementation, act as liaison to product/engineering, and refine deployment best practices. Requires 3+ years customer-facing technical experience, API knowledge, and a technical/strategic mindset.
Software Engineer owning the technical vision and architecture of Assembled's new design system. Lead component APIs, token architecture, AI-assisted UI generation workflows, frontend modernization, and best practices across teams. Requires 3+ years frontend experience with design system ownership.
Build and own customer-facing product experiences end-to-end as a full-stack engineer with deep frontend expertise. Lead React implementation, strengthen frontend foundations, partner with product/design, and experiment with AI coding agents to ship polished B2B SaaS features.
Own scheduling and forecasting for an enterprise WFM platform. Partner with support ops leaders at top brands to define AI-powered roadmap and ship features that optimize capacity planning.
Own and evolve Assembled's visual brand identity and design systems for marketing assets. Build AI-native templates and automate production tasks while leading creative on campaigns and events.
Sales Engineer driving technical discovery through deal closure, designing POCs and demos, and owning RFPs for a SaaS platform. Requires 3-5 years SE experience, strong API/cloud skills, and proven technical deal-closing ability.
Assembled is seeking an Engineering Manager for their Forecasting & Scheduling team to lead the development of algorithms and user experiences for workforce management in the AI era. This role involves setting technical direction, making product decisions, and partnering with cross-functional teams to deliver impactful solutions.
Own and scale strategic partnerships that drive 30% of revenue through executive relationships, co-sell motions, and new alliance development at a customer support AI platform.
Lead the Forecasting & Scheduling team, setting technical direction for algorithms and UX that optimize staffing of human agents and AI. Partner with PM, design, ML engineers, and customers while balancing people leadership and deep technical problem solving.
Builds forecasting interfaces, data pipelines, and scheduling systems for thousands of support agents using ML models. Requires Python ML libraries experience and background in ML/algorithmic teams with focus on performance optimization.
Develops forecasting interfaces, data pipelines, and scheduling systems to predict support contact volume and optimize agent schedules for thousands, incorporating ML models and constraints like labor laws. Requires Python/ML experience and performance focus.
Build scalable infrastructure, integrations, and data platforms powering workforce management and AI agent products at enterprise scale. Requires 5+ years in backend/platform systems, with expertise in AWS, Kubernetes, Go/Python, and datastores like Postgres and Snowflake.
Builds autonomous AI agents and platform infrastructure for customer support, enhancing LLM performance with RAG techniques, scaling systems with Golang, and integrating STT/TTS. Requires 5+ years software engineering experience with LLMs.
Generates high-quality sales pipeline through outbound prospecting via cold calls, email, LinkedIn, and events. Qualifies opportunities, uses AI/automation tools, and collaborates with sales team; requires 1+ years B2B SaaS sales experience.
Leads technical deployment and onboarding for mid-market and enterprise customers of a SaaS/AI support platform, building relationships, refining best practices, and collaborating cross-functionally. Requires 6+ years customer-facing experience with SQL, APIs, and integrations.