
SaaS • B2B • Productivity
PandaDoc is a comprehensive document management solution that helps businesses streamline their document workflows. It offers a range of features including custom agreement generation, eSignatures, CPQ (configure, price, quote) capabilities, and real-time collaboration tools. PandaDoc is designed for ease of use, enabling teams to automate document creation and management processes, thus improving efficiency and reducing errors. The platform integrates with popular CRM systems, payment gateways, and other tools to facilitate seamless business operations. Focused on security and compliance, PandaDoc supports legal and secure electronic transactions, making it ideal for businesses looking to optimize their agreement management processes.
November 18

SaaS • B2B • Productivity
PandaDoc is a comprehensive document management solution that helps businesses streamline their document workflows. It offers a range of features including custom agreement generation, eSignatures, CPQ (configure, price, quote) capabilities, and real-time collaboration tools. PandaDoc is designed for ease of use, enabling teams to automate document creation and management processes, thus improving efficiency and reducing errors. The platform integrates with popular CRM systems, payment gateways, and other tools to facilitate seamless business operations. Focused on security and compliance, PandaDoc supports legal and secure electronic transactions, making it ideal for businesses looking to optimize their agreement management processes.
• Own technical decisions by working daily with the team on architecture, scope, and technical choices—participating in code reviews, architecture discussions, and technical debates rather than just reviewing from a distance; • Navigate uncertainty by helping the team gain clarity on unclear projects, asking the right questions, and building proof-of-concepts to validate approaches; • Challenge developers to consider different solutions and think critically, raising the bar on engineering craft; • Drive quality and process improvements directly, abstract common patterns with platform thinking, and build extensible, reusable solutions for multiple use cases. • Push back constructively to find better solutions, change scope, or re-plan for faster delivery based on your deep understanding of technical constraints and opportunities; • Apply strong product sense to help PMs understand what's possible and what's expensive, finding opportunities where technically easier solutions are also better for users; • Balance trade-offs between speed and quality with confidence, and partner with PM to shape technical strategy and roadmap—not just execute it. • Build team capability and independence, matching challenging work to engineers who can handle it while staying on top of accountability without micromanaging; • Be a force multiplier by removing blockers, providing context, and making good technical calls that make the team more productive; • Recruit and grow engineers pragmatically, focusing on what actually helps people develop rather than ritual.
• Over 8 years of engineering experience, including relevant experience in a team leader or engineering manager role; • Previously worked as a Software Engineer; • Have experience working with AI technologies; • Possesses strong interpersonal and communication skills; • Previously worked in a product organization; • Experienced in managing delivery processes; • A self-starter who thrives in a rapidly changing business environment; • You are hands-on, customer- and product-focused.
• An honest, open culture that emphasizes feedback and promotes professional and personal development • An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Kyiv, from Florida to California • 6 self care days • A competitive salary • And much more!
Apply NowSeptember 21
Senior Engineering Manager leading ML pricing and fleet optimization at mobility provider SIXT. Manage 10–15 engineers, own serverless ML pipelines, and drive product roadmap.
AWS
Cloud
Google Cloud Platform
Kafka
Keras
Microservices
Numpy
Pandas
Python
PyTorch
Tensorflow