Clera

Platform Engineer

• Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove their results.
• Design and implement orchestration systems for agents interacting with the broader world.
• Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics accessible to organizations with minimal data engineering resources.
• Contribute across infrastructure, services, or frontend as the team and product evolve.

Senior Software Engineer – Platform

Backend Engineer

• Own core backend platform features end-to-end — from concept and architecture through deployment and iteration
• Build and maintain low-latency, highly available backend services that power real-time threat detection
• Collaborate cross-functionally in a fully remote, distributed team environment
• Integrate external data sources and OSINT-style data feeds into the platform pipeline
• Contribute to AI pipeline architecture and agentic workflow systems
• Drive 0→1 feature development with a high degree of autonomy and accountability

Senior/Staff Backend Engineer

Robotics

• Develop and optimize ML models for perception, motion planning, and control.
• Build computer vision and sensor-fusion systems using camera, LiDAR, and IMU data.
• Integrate learning-based models with robotics software stacks (ROS/ROS2).
• Design pipelines for data collection, simulation, and reinforcement learning.
• Collaborate with robotics and hardware engineers to deploy models in live environments.
• Continuously evaluate model performance and robustness across diverse scenarios.

ML Engineer – Robotics

Financial Planning and Analysis

• Lead technical due diligence on prospective investments across hard tech verticals (drones, defense, robotics, space, advanced manufacturing)
• Run proactive outbound sourcing to identify and engage early-stage founders
• Meet and evaluate founders on a daily basis, developing strong pattern recognition across the sector
• Build and maintain a deep professional network across the hard tech ecosystem
• Contribute to investment memos, market maps, and portfolio support
• Represent the firm at industry events, labs, and technical communities

Investment Associate – Hard Tech

Full-stack Engineer

• Design and build voice AI systems and document agent workflows that handle millions of insurance claims.
• Work directly with customers to understand their end-to-end workflows and deliver solutions that meaningfully reduce friction.
• Ship production-quality TypeScript and Python code that processes real claims at scale.
• Design APIs, data models, and integrations with claims management systems and other external platforms.
• Contribute to core infrastructure decisions using AWS, Docker, and PostgreSQL.

Founding Software Engineer

Performance Marketing

• Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.
• Automate demand generation workflows — from audience segmentation to personalized outreach at scale.
• Design and maintain data pipelines for behavioral analytics, targeting, and A/B experimentation.
• Collaborate cross-functionally with marketing and product to translate growth objectives into ML solutions.
• Experiment with LLMs, recommendation systems, and generative AI for content creation and outreach automation.
• Establish data-driven frameworks for channel optimization and ROI tracking.

Founding ML Engineer – Demand Generation

Machine Learning Engineer

• Build and optimize end-to-end ML pipelines, from data ingestion to deployment.
• Implement and fine-tune LLMs, embeddings, and generative models for real-world applications.
• Develop efficient training and inference systems leveraging distributed compute.
• Partner with data and product teams to translate ideas into measurable ML impact.
• Contribute to model monitoring, evaluation, and continual learning frameworks.
• Establish best practices in model versioning, reproducibility, and scalability.

Founding Machine Learning Engineer

Research Engineer

• Design, train, and evaluate ML models — including LLMs, diffusion models, and domain-specific architectures.
• Develop scalable experimentation pipelines spanning data ingestion, model training, and evaluation workflows.
• Collaborate with data and infrastructure teams to optimize training throughput and model quality.
• Contribute to open research, internal benchmarks, and new techniques in multimodal and generative AI.
• Rapidly prototype research ideas and productionize them into usable models and tools.
• Define and promote standards for research rigor, documentation, and reproducibility across the engineering org.

Founding Engineer – ML Research

• Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.
• Automate demand generation workflows spanning audience segmentation and personalized outreach.
• Design and maintain production data pipelines for behavioral analytics, targeting, and experimentation.
• Partner closely with marketing and product teams to translate growth goals into measurable ML solutions.
• Experiment with LLMs, recommendation systems, and generative AI for content personalization and outreach.
• Establish data-driven frameworks for channel optimization and ROI tracking.

Founding Engineer – ML Demand Generation

• Build and optimize end-to-end ML pipelines from data ingestion through deployment.
• Implement and fine-tune LLMs, embeddings, and generative models for real-world use cases.
• Develop efficient training and inference systems leveraging distributed compute.
• Partner with data and product teams to translate ideas into measurable ML outcomes.
• Contribute to model monitoring, evaluation, and continual learning frameworks.
• Establish best practices for model versioning, reproducibility, and scalability.
• Move quickly between experimentation and production deployments, balancing research and engineering rigor.

Founding Engineer – Machine Learning

Software Engineer

• Design and implement core chat and real-time features for a production healthtech product.
• Collaborate closely with a small, cross-functional founding team to define and execute technical direction.
• Build reliable, scalable services and iterate quickly based on real user feedback.
• Participate in architecture and design discussions, balancing speed-to-ship with long-term maintainability.
• Own components end-to-end — from implementation and testing through to monitoring and observability.

Founding Engineer – Chat, Real-Time Features

Systems Engineer

• Design and implement long-running, harness-based multi-agent architectures — covering topologies, orchestration, memory management, tool registries, and execution environments.
• Develop behavioral and persona models with goal-directed simulations, including evaluation frameworks, prompt schemas, and automated or human-in-the-loop feedback mechanisms to measure fidelity and surface failure modes.
• Build signal and insight systems that translate agent outputs into actionable product decisions, enabling data-driven iteration across research, product, and engineering teams.
• Ensure production reliability through comprehensive tracing, cost monitoring, failure detection, and robust fallback strategies.
• Collaborate cross-functionally with distributed systems, machine intelligence, and product teams to deliver measurable, scalable agent capabilities.

Agent Systems Engineer

Blockchain Engineer

• Work on a greenfield OLAP lakehouse project, building the data platform for the agentic era — where AI agents drive the vast majority of queries.
• Design and implement distributed data system components with a strong focus on join optimization and query performance.
• Collaborate fluidly across infrastructure, services, and frontend to deliver end-to-end data platform features.
• Ship reliable, scalable data infrastructure that powers enterprise-grade analytics at scale.
• Contribute from zero to one — this is early-stage, high-ownership work.

Senior Software Engineer, Distributed Data Systems

Product Marketing

• Define and execute a multi-channel GTM strategy to drive revenue and user growth.
• Lead brand storytelling and positioning — crafting a compelling, differentiated narrative for the company.
• Own and optimize paid media across Google Ads, Meta, and LinkedIn.
• Build and manage influencer and partner marketing programs, including negotiation and campaign execution.
• Collaborate cross-functionally with product, sales, design, and customer success teams.
• Set marketing budgets, forecast outcomes, and measure ROI with rigorous attribution modeling.
• Develop high-impact campaigns and accompanying performance dashboards.
• Hire and mentor marketing talent as the company grows.

Founding Marketer – Growth, GTM

Accounting Manager

• Lead and own the month-end close process, including reconciliations, journal entries, and financial reporting.
• Oversee core accounting functions: revenue recognition (ASC 606), inventory, intercompany transactions, payroll, AP/AR, and fixed assets.
• Review and manage preparation of financial statements and internal reporting packages.
• Perform balance sheet and P&L fluctuation analyses to deliver actionable business insights.
• Manage treasury activities including cash flow forecasting, banking relationships, and liquidity optimization.
• Partner with Supply Chain to improve inventory controls, reporting, and forecasting, including cycle counts and inventory turns.
• Develop and enhance accounting policies, procedures, and internal controls documentation.
• Identify and implement process improvements and automation to support scale.
• Manage, mentor, and develop staff accountants to foster a high-performance team.
• Support external audits and readiness for public reporting requirements.
• Collaborate cross-functionally to drive accountability, transparency, and operational efficiency.