Benefits:

• Health, Vision, and Dental Care

• Paid Parental Leave

• Flexible Time Off

• Wellness Stipend

• In-Office Meals (SF Office only)

Education Requirements:

• Bachelor’s or Master’s degree in Electronics Engineering, Electrical Engineering, Computer Science, or a related technical field

Experience Requirements:

• 12+ Years

Benefits:

• stock options

• benefits

• additional perks

Education Requirements:

• B.S. in Computer Science or a related technical discipline, or equivalent experience

Experience Requirements:

• 6+ years of software engineering, systems engineering, or technical product/program management experience

• Experience owning a SaaS implementation or delivery

Other Requirements:

• Knowledge of user needs, gathering requirements, and defining scope

• Exceptional project management skills

• Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership

• Communication experience and previous successes in defining processes

• Organizational coordination experience and experience establishing work relationships across multi-disciplinary teams and multiple partners

• Analytical and problem-solving experience with complex systems and processes

• Coding competence in Javascript and SQL

Responsibilities:

• Lead aligned program teams to efficiently deliver successful customer implementations on time with quality

• Develop and own and leverage project plans to effectively and proactively communicate program status, issues, and risks to stakeholders

• Define and track key metrics and key quality and performance indicators and drive cross functional execution of program deliverables

• Partner with cross functional teams to drive technical analysis, design, development, testing, implementation, and post implementation phases

• Drive internal and external process improvements across multiple teams and functions including reducing the manual efforts through automation

Benefits:

• Covered lunch + dinner

• Equinox membership

• Weekly massages

Education Requirements:

• Bachelor's Degree

Experience Requirements:

• Customer-obsessed

• Opinionated but convincible

• Has great taste

• Wicked fast iterations

• High trust, high loyalty

Other Requirements:

• Measure twice, cut once

• High ownership

• Comfortable with moving fast

• Super user of Cursor & Chrome Dev Tools

• Background in life sciences, UX or product design is a plus

• Help manage & grow an on/offshore team

• Design and build products from repo creation

• Extreme knowledge and expertise in building data-intensive applications

Responsibilities:

• Measure twice, cut once

• High ownership

• Comfortable with moving fast

• Super user of Cursor & Chrome Dev Tools

• Help manage & grow an on/offshore team

Benefits:

• 0-1 Journey

• Health insurance

• Equity

• Learning stipend

• Generous leave policy

Experience Requirements:

• 7+ years of experience in data engineering or data architecture, with at least 3 years in a hands-on technical leadership or architecture role

Other Requirements:

• Extensive hands-on experience with Python, SQL, and big data frameworks like Apache Spark or Hadoop

• Comfortable jumping into complex technical problems and providing innovative solutions

• Expert-level experience with cloud platforms (AWS, Azure, GCP) and hands-on experience with data tools such as Redshift, BigQuery, Snowflake, or Synapse

• Proven expertise in building and optimizing data pipelines using tools like Apache Airflow, Azure Data Factory, dbt, Fivetran, and other ETL/ELT frameworks

• Experience with real-time data streaming platforms (e.g., Kafka, Kinesis, Flink), with a focus on building and maintaining low-latency, high-throughput systems

• Extensive experience in designing and implementing data models for both operational databases and data warehouses, including dimensional modeling and data vault techniques

• Strong communication and leadership abilities

• Able to motivate and guide teams to success, while fostering a culture of collaboration, learning, and technical excellence.

• Ability to tackle complex problems and quickly iterate on solutions

• Proven experience in setting strategic direction and executing on technical initiatives

Responsibilities:

• Lead the design and implementation of web front-end and back-end architecture to ensure consistency and scalability across all features.

• Perform detailed technical architecture and design reviews to maintain high standards.

• Architect, design, and develop data pipelines and infrastructure components.

• Write high-quality, production-level code in Java, Python, SQL, and implement big data frameworks like Apache Spark.

• Work with cloud data platforms such as Redshift, Snowflake, etc., ensuring solutions are scalable, secure, and efficient.Develop innovative no-code and low-code solutions using AWS or existing managed services to quickly innovate and implement AI solutions, leveraging RAG (Reasoning and Generalization), AI agent architectural frameworks, and other emerging technologies.Oversee the architecture and implementation of web features, reviewing PRs, sharing best practices, and mentoring engineers on technical solutions.Help deliver highly performant and available features while managing the overall health and quality of the codebase.Mentor senior engineers, helping them elevate their technical skills and continuously raising the engineering bar across the organization.Conduct rapid proof-of-concept (POC) experiments to set direction for the engineering team.Design and develop seamless integrations between multiple data sources, ensuring smooth data availability across the organization.Lead the optimization of cloud-based data platforms, such as AWS, Azure, or GCP, focusing on real-time streaming platforms like Apache Kafka, Kinesis, or Dataflow.Architect and implement real-time data pipelines, ensuring low-latency, high-throughput data processing.Focus on building and maintaining high-performance systems that cater to the organization's real-time data needs.Establish automated data validation and testing frameworks, ensuring accuracy, completeness, and reliability in data processing.Communicate architectural decisions, solutions, and approaches to senior leaders and other teams, gaining consensus and support for critical initiatives.Actively manage, coach, and motivate the engineering team.Foster a collaborative and high-performance culture that emphasizes accountability, ownership, and continuous improvement

Benefits:

• Flexible Hours

• Work Remotely

• Health & Wellness

• Grow your Skills

Benefits:

• Flexible Hours

• Work Remotely

• Health & Wellness

• Grow your Skills

Benefits:

• Flexible Hours

• Work Remotely

• Health & Wellness

• Grow your Skills

Benefits:

• Flexible Hours

• Work Remotely

• Health & Wellness

• Grow your Skills

Benefits:

• Flexible Work Hours

• Health Insurance

• Work from Anywhere

• Exponential Growth

• Learning Environment

Benefits:

• Flexible Work Hours

• Health Insurance

• Work from Anywhere

• Exponential Growth

• Learning Environment

Benefits:

• Flexible Work Hours

• Health Insurance

• Work from Anywhere

• Exponential Growth

• Learning Environment

Benefits:

• Flexible Work Hours

• Health Insurance

• Work from Anywhere

• Exponential Growth

• Learning Environment

Benefits:

• Competitive salary

• Generous equity stake

• Wide range of benefits

• Career progression opportunities

Education Requirements:

• PhD in molecular biology, bioengineering, bioinformatics, or a related field

Experience Requirements:

• 5+ years of experience in biopharma in a scientific role in protein engineering, focussing on antibodies, with experience with biophysical and/or functional assays

Other Requirements:

• Deep knowledge of the biopharmaceutical R&D process, methods, tooling

• Excellent analytical and communication skills

• Proven ability to build strong relationships with a variety of stakeholders

Responsibilities:

• Work closely with customers with Biotherapeutics-related use cases to understand their scientific goals and propose tailored solutions

• Advise on identifying projects that Cradle platform is best suited for

• Collaborate with product teams to guide product development

• Build and maintain strong relationships with Cradle’s users

• Collaborate with sales to identify new business opportunities

Benefits:

• Competitive salary

• Meaningful equity stake in the company

• Wide range of benefits from health and wellbeing, financial, to training and career progression opportunities

Education Requirements:

• Scientific academic degree (MS, PhD) in biology or biochemistry

Experience Requirements:

• Minimum 2 years of professional experience (post-degree), preferably in a solution consultant type role

Other Requirements:

• Experience with scientific/informatics software

• Ability to quickly understand various wet lab experimental workflows

• Experience with computational protein design

• Excellent communication skills

• Able and willing to travel 20-40%

Responsibilities:

• Own and manage scientific and technical ‘discovery’ to understand the customer’s current landscape

• Develop impactful presentations and deliver amazing demonstrations

• Manage customer questions and objections

• Attend industry relevant conferences and represent cradle

• Bring insights from the field back to product teams

Benefits:

• Remote Work

• Unlimited PTO

• Health Benefits

• 401k Matching

• Equity Options (Stock Options)

Benefits:

• Remote Work

• Unlimited PTO

• Health Benefits

• 401k Matching

• Equity Options (Stock Options)

Benefits:

• competitive medical, dental, and vision coverage

• stock options

• 401k contribution match

• paid time off

• Thrive Time (paid time off to recharge after intense work )

Benefits:

• Generous healthcare packages

• Mental health services

• Bonus programs

• Annual performance reviews

• Career development opportunities

Benefits:

• Work with a leader

• Referenceable Customer base

• Pay for Performance Culture

• Uncapped commission plan

• Club Awards