You will own the full sales cycle for the DACH market, including prospecting, cold calling, and closing deals. Additionally, you will collaborate with the founding team to develop go-to-market strategies and refine product positioning.
You will own the cloud infrastructure, deployment systems, and reliability for a high-traffic B2B SaaS platform. This includes architecting AWS solutions, managing PostgreSQL databases, and building automated CI/CD pipelines.
You will own the design process from concept to shipment while establishing design systems and standards for the team. You will also collaborate closely with product and engineering teams to iterate on designs based on user feedback and technical constraints.
Build and maintain an AI agent that reviews customer code for OpenTelemetry instrumentation issues and proposes automated fixes. You will develop features across the control plane and agent harness while improving reliability through evaluations and structured outputs.
Design and maintain scalable backend systems, APIs, infrastructure, databases, and deployment pipelines for an AI and machine learning platform. Improve reliability, performance, monitoring, and observability; investigate production issues; and contribute to architectural decisions and infrastructure automation.
You will develop reproducible, containerized coding environments and benchmarks to train and evaluate advanced AI models. This involves creating tasks from real-world software engineering data and building robust verifiers to ensure model performance and safety.
You will build the geometry and data core of a new BIM authoring tool while developing AI agents to plan and edit building models. Additionally, you will create generative design capabilities that adhere to building codes and client constraints.
You will partner with product and engineering teams to shape core product experiences from initial problem definition through to final launch. Your role involves creating high-fidelity designs, contributing to design systems, and refining embedded interfaces to ensure a seamless user experience.
You will build and maintain evaluation pipelines, benchmarks, and production workflows for AI-driven legal products. Additionally, you will manage cloud infrastructure, APIs, and monitoring systems to ensure reliable system performance.
Manage the full sales cycle, from prospecting and discovery through demonstrations, negotiation, and closing, while independently researching target accounts and building pipeline. Collaborate with leadership to refine the ideal customer profile and sales approach, and share customer needs and pain points with product and engineering teams.
Rebuild the existing product into scalable, reliable infrastructure and design and operate AI agent systems, including orchestration, memory, and verification. Own projects across the full stack, set technical direction and engineering practices, and ship frequent customer-facing improvements.
You will draft, review, and negotiate various commercial agreements while providing risk-calibrated legal advice to founders and internal teams. Additionally, you will help build AI-enabled workflows and playbooks to scale the company's commercial legal services.
You will build reliable APIs, backend services, and document-processing workflows while integrating AI capabilities into practical legal software. You will also take core product features from technical design through release and collaborate with legal domain experts.
You will own relationships with AI labs from initial outreach through closing and account growth. You will also scope customer needs for data products and structure agreements tailored to specific deal sizes.
Lead enterprise sales efforts by managing commercial relationships with law firms and corporate legal departments from prospecting to contract close. Collaborate with product and engineering teams by providing customer insights and market feedback to shape the AI software solution.
You will support the strategy and operations team by performing business analysis and organizing data to drive informed decision-making. Additionally, you will prepare reports and presentations while collaborating with colleagues using remote communication and cloud-based tools.
You will design and scale backend services, data pipelines, and AI-powered infrastructure to coordinate manufacturing supply chain workflows. Additionally, you will own backend incident response and establish observability practices to ensure system reliability.
You will own end-to-end product challenges for a reinforcement learning platform, partnering with cross-functional teams to identify user friction and ship improvements. Responsibilities include building frontend and backend features for onboarding, submissions, and discovery workflows while refining experiences based on user feedback.
Build and maintain reliable AI coding-agent workflows and open-source tools that identify and fix instrumentation issues across codebases. Develop agent evaluations and code context, maintain OpenTelemetry-related agent skills, and collaborate with customer-facing teams when needed.
Own roadmaps for product modules and AI agents, translating customer needs into priorities and delivering AI features with explainable recommendations, delegated permissions, and auditable actions. Collaborate with customers and engineering, design, data science, and machine learning teams to improve regulated workflows and measure outcomes such as automation, time saved, and release speed.
Build and operate high-volume outbound email infrastructure, managing domains, mailboxes, deliverability, prospect data, and outreach workflows. Write and test personalized campaigns, analyze performance, and use results to improve qualified pipeline generation.
Oversee autonomous recruiting agents by monitoring candidate conversations, intervening in high-stakes situations, reviewing and labeling outputs, and auditing matches, outreach, and conversion metrics. Manage final-stage candidate conversations and offers, support placements, and document operating procedures and playbooks for human-agent collaboration.
Design and build interfaces for the platform and marketplace that make agent behavior, evaluation results, reward signals, and quality feedback clear and actionable. Collaborate with research, engineering, and users to improve reinforcement learning workflows and deliver usable, high-quality product experiences.
Prospect and manage shipper accounts, learn customer freight needs, quote and negotiate rates, and secure shipments. Coordinate with carrier operations to arrange capacity, support reliable delivery, resolve issues, and grow freight volume and services within existing accounts.
Build and ship customer-facing voice AI software using TypeScript, NestJS, Node.js, and React, owning features from discovery and prototyping through production deployment. Engage directly with customers, use feedback to iterate and prioritize releases, and contribute to the product roadmap.
Respond to client questions, help customers use and configure the platform, and share structured feedback with the Product team. Monitor account health, identify expansion opportunities, support Sales Managers with product reviews and upsell scoping, and gradually take ownership of larger accounts and relationships.
You will manage end-to-end paid acquisition campaigns across Meta and TikTok for consumer apps, focusing on scaling user growth. This includes producing creative variants, analyzing performance metrics, and optimizing budgets to meet specific cost-per-install targets.
You will design and own a multi-source data platform, managing everything from ingestion and event-driven processing to orchestrated batch workflows. Your role involves building robust data pipelines, ensuring data quality through contracts and testing, and optimizing storage and transformation layers.
Design and build a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows. Manage the platform end-to-end, including architecture, ingestion, production operations, and data transformation using dbt.
You will own the end-to-end data platform, including architecture, ingestion, and production operations. Responsibilities include designing multi-source ingestion workflows, building event-driven processing systems, and ensuring data reliability for downstream products.
Design, build, and operate backend services to ingest and contextualize IoT and partner data for logistics systems. Manage end-to-end data flows, including normalization, warehousing, and monitoring to ensure reliable shipment risk analysis.
Manage complex data and evaluation programs for AI research teams from scoping through delivery and quality assurance. Coordinate with external vendors and cross-functional partners to improve production workflows and data quality metrics.
You will build product interfaces, backend services, and internal tools to support an AI reinforcement learning data platform. This involves collaborating with research and operations teams to develop dashboards, observability tools, and workflows for data collection and model evaluation.
Build and ship features for AI agent evaluation, replay, and developer experience tools. Engage with the developer community to gather feedback and communicate product improvements.
You will lead growth initiatives across demand generation, product marketing, and sales enablement for a B2B software company. This includes building automated workflows, managing integrated campaigns, and optimizing tracking systems from first touch to closed-won.
Lead customer deployments from requirements through production, configuring voice AI systems and building integrations with third-party services. Debug production issues, create reusable deployment resources, and share customer insights to improve the product.
Develop product positioning, messaging, and content strategy, and lead product launches across channels. Create customer-informed sales narratives, direct video and content production, and use competitor insights and marketing performance to refine messaging.
Own product features from discovery and experimentation through implementation, release, and iteration. Engage with customers, partners, and Sales, use product metrics to guide improvements, and make pragmatic full-stack architecture decisions.
The intern will execute B2C marketing strategies to attract top talent to the Clera platform through paid social campaigns and content creation. They will also manage community engagement and analyze user acquisition funnels to optimize growth metrics.
