Clera

Product Marketing

• Own cold calling, personalised outreach, and daily dials to drive qualified meeting bookings with senior leaders at banks, PSPs, and fintechs.
• Assist with pilots, join demos and onboarding sessions, and capture structured feedback to inform the product and GTM strategy.
• Maintain CRM hygiene, manage pipeline reporting, and track GTM experiments to ensure clean, data-driven commercial operations.
• Build and maintain outreach sequences and AI automations that support clean handoffs between sales and success teams.
• Run targeted outreach tied to industry events, conferences, and relevant community channels.
• Sit in on customer calls and demos to surface pain points, identify expansion opportunities, and feed insights back to the founding team.
• Help move trial customers toward conversion and identify opportunities to expand use cases within existing accounts.
• Implement scalable systems and processes that support commercial operations as the business grows.

Go-To-Market Associate

Full-stack Engineer

• Shape product direction and technical strategy as an early team member.
• Build and scale the core platform and new zero-to-one initiatives.
• Translate novel LLM capabilities into understandable, performant end-user experiences.
• Release production code under a "You Build It, You Run It" ownership model — shipping, operating, and iterating end-to-end.
• Work directly with enterprise customers (financial crime and risk teams) to solve critical compliance problems.
• Build integrations, data infrastructure, and tooling to enable AI agents to automate compliance workflows.
• Evolve schemas and structure non-deterministic LLM outputs for reliable downstream use.
• Lead customer calls and take ownership of customer outcomes.
• Collaborate with the founding team to mature engineering practices.
• Tackle scaling challenges, navigate ambiguity, and help hire and onboard future teammates.

Founding Product Engineer

• Define and execute a multi-channel GTM strategy to accelerate revenue and growth.
• Lead branding and storytelling to craft a compelling narrative and market position.
• Oversee paid advertising, social channels, partnerships, and influencer programs.
• Collaborate cross-functionally with product, sales, design, and customer success.
• Set budgets, forecast outcomes, and measure ROI across channels.
• Build, mentor, and scale the marketing function as the company grows.
• Develop and deploy high-impact marketing campaigns and dashboards to track performance.

Senior Founding Marketer – Growth, GTM

Engineer

• Develop front-end and back-end features using TypeScript, React, Deno, Node, and SQL.
• Work directly with customers to gather requirements and iterate on solutions.
• Deploy and operate services on AWS and troubleshoot production issues.
• Travel frequently for on-site customer engagements and deployments.
• Contribute to product design and rapid prototyping; move ideas to shipped code.
• Support team logistics during travel and ensure smooth customer experiences.

Forward Deployed Engineer

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

• 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.