AI Jobs

Benefits:

• Shape AI integration

• Collaborative startup environment

• Professional growth in edtech

• Competitive compensation

Experience Requirements:

• Minimum 5 years of K-12 teaching experience

Other Requirements:

• Ability to create engaging instructional materials

• Strong communication and presentation skills

• Deep interest in and enthusiasm for AI in education

• Comfortable with regional travel

Responsibilities:

• Lead professional development and training sessions

• Provide ongoing customer support

• Develop asynchronous training materials

• Represent Colleague AI at regional education conferences

• Conduct outreach to identify new engagement opportunities

Benefits:

• Competitive base salary

• Commission structure aligned with impact

• Future equity potential

Experience Requirements:

• 5+ years of experience in enterprise sales, business development, or partnerships

Other Requirements:

• Proven track record of securing district partnerships

• Strategic mindset with ability to execute independently

• Excellent communication skills

• Deep understanding of public education funding

Responsibilities:

• Achieve Targets: Close deals and build pipeline

• Establish Regional Presence as trusted AI partner

• Build Senior Relationships with superintendents and leadership

• Navigate Complex Sales Cycles and contracts

• Collaborate Cross-Functionally with product and finance

Benefits:

• equity

• benefits

Education Requirements:

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Biophysics, or related field, or equivalent experience

Experience Requirements:

• Expertise in RNA biology and biochemistry, RNA-protein interactions, and RNA structure

• Proficiency in Python for data curation and analysis at scale

• Strong programming background, familiarity with Unix

• Strong foundation in statistics and experience with conducting statistical analysis of large-scale datasets

Other Requirements:

• Authorized to work lawfully in the US

• Open to working in-person at South San Francisco several days a week

Responsibilities:

• Provide RNA biology and RNA structure expertise on the ML team

• Enable and apply RNA-structure platform to prioritize RNA targets

• Generate insights from datasets on RNA structures and small molecule interactions

• Curate RNA datasets for training of ML models

• Inform scientific questions and ML model development

Benefits:

• health

• medical

• dental

• vision insurance coverage (82% employer contribution)

• life and disability insurance, 401k with match, paid holidays, paid sick leave and flexible time off

Experience Requirements:

• 5-7 years of experience in human-centered product/UX/UI design

Other Requirements:

• Scrappy, can-do attitude

• Collaborative nature and ability to manage stakeholder expectations

• Ownership mentality

• Experience in building compelling user experiences, especially as it relates to taking a wealth of data from “noise” into meaning

• Proficiency in Figma for designing and prototyping user interfaces, with a strong portfolio that showcases your experience in creating wireframes, mockups, and interactive prototypes.

• Familiarity with GIS data is a plus

• Familiarity with the property ecosystem (insurance, contractors, lenders, real estate agents, etc.) is a plus

Responsibilities:

• Bring a 0 to 1 mindset to building the Arturo platform

• Conduct research to build an intuitive and functional product; human-centered design

• Iterate on user interface design and comfort in aligning stakeholders to make the best decisions for the user

• Participate in the product process, bringing in value signals from the market, customers, marketing/sales

• Work closely with the product team to synthesize value signals into a must-have list of requirements to shape a competitive roadmap

Other Requirements:

• Good to Expert level understanding of geospatial systems, concepts, patterns, and software, including both legacy formats and software, as well as the hottest newest open-source packages and tools

• Professional experience writing production-ready Python code that leverages modern software development best practices (automated testing, CICD, observability)

• Experience working on a team of developers, maintaining a shared codebase, and having your code reviewed before merging

• Strong DB Expertise in an Amazon environment (RDS, Postgres, and DynamoDB)

• Strong ETL Experience (especially in extraction and ingestion of 3rd party data)

• Familiarity with machine learning concepts

• Familiarity with asynchronous programming

Responsibilities:

• Onboard new geospatial datasets into our systems: imagery, parcels, extracted polygons, and build ETL pipelines to automate these processes

• Manage the interface between our AI systems and the input data they need to operate via streaming systems, storage systems, and caching systems

• Be aware of, and manage 3rd party provider rate limits, and architect our systems to gracefully deal with these limits while maximizing our throughput

• Participate in an agile product development process, where collaboration with stakeholders is a vital step to building what is needed

• Challenge and be challenged on a diverse, collaborative, and brilliant team Write automated test suites to ensure the quality of your code Contribute to open-source geospatial software Build solutions that enable new products -- typically involving large scale or intricate geospatial techniques Build-in system quality from the beginning by writing unit & integration tests and integrating with logging, metrics, and observability systems