AI Jobs

Benefits:

• Personal ownership and initiative

• Accelerated learning environment

• Guidance and training from the company

• Hands-on experience with industry technologies

• Exposure to benefit career goals

Other Requirements:

• Creating content for TikTok/Instagram

• Conducting digital marketing

• Communicating with audience across multiple platforms

Responsibilities:

• Creating social media marketing content

• Hosting podcasts

• Interviewing CEOs

• Creating Newsletters

• Executing social media marketing strategies

Benefits:

• 20% commission on annual revenue

• Personal ownership and initiative

• Guidance and training from the company

• Hands-on experience with industry technologies

• Exposure to benefit career goals

Other Requirements:

• Intern-to-hire position

• Paid based on contribution and experience

Responsibilities:

• Help grow the business

• Penetrate the market

• Bring and close customers

Benefits:

• Medical & dental benefits

• Flexible working hours

• Flexible time off policies

• Stock option grants

Experience Requirements:

• 4+ years working in a similar position

• Experience in Pharmaceutical, Life Sciences or Healthcare sectors

• Experience leading large, complex projects

• Understanding of the North American Pharmaceutical environment

• Experience in a start-up and / or technology / SaaS environment

Other Requirements:

• Adjusts quickly to changing priorities

• Exceptional communication skills

• Willingness to travel to customer sites

Responsibilities:

• Lead the customer experience from kickoff to renewal

• Translate brand and data strategy into ODAIA solutions

• Elicit high-level requirements and end user needs

• Assess customer data sets and recommend improvements

• Generate reports to demonstrate ROI

Benefits:

• Medical & dental benefits

• Flexible working hours

• Flexible time off policies

• Stock option grants

Experience Requirements:

• 4+ years of experience in a client-facing strategic role

• Experience in omnichannel marketing or campaign analytics

• Experience in Pharma, Life Sciences, or Healthcare

• Understanding of the North American pharmaceutical marketing ecosystem

Other Requirements:

• Comfort operating in ambiguous environments

• Strong storytelling and communication skills

• Analytical mindset with consultative approach

Responsibilities:

• Manage day-to-day campaign strategy and execution

• Translate omnichannel performance data into recommendations

• Act as strategic owner of customers’ omnichannel success

• Consult with customers on campaign performance across channels

• Lead regular performance reviews focused on ROI

Benefits:

• Medical & dental benefits

• Flexible working hours

• Flexible time off policies

• Stock option grants

Experience Requirements:

• 4+ years working in a similar position

• Experience in Pharmaceutical, Life Sciences or Healthcare sectors

• Experience leading large, complex projects

• Understanding of the North American Pharmaceutical environment

Other Requirements:

• Exceptional communication skills

• Willingness to travel to customer sites

Responsibilities:

• Lead customer experience from kickoff to renewal

• Lead data, brand strategy, and project planning

• Translate brand and data strategy into ODAIA solutions

• Assessment of customer data sets

• Generate reports to demonstrate ROI

Benefits:

• Medical & dental benefits

• Flexible working hours

• Flexible time off policies

• Stock option grants

Experience Requirements:

• 3+ years in data engineering

• Strong experience with AWS (ECS, S3, Lambda, etc.)

• Experience with Snowflake

• Experience with Dagster or Airflow

• Programming proficiency in Python

Other Requirements:

• Experience with DBT and ETL processes

• Understanding of SQL schema and query development

• Familiarity with CI/CD and Test Driven Development

Responsibilities:

• Build scalable data infrastructure for onboarding

• Design and develop automation tools for ingestion

• Implement end-to-end data solutions in agile environment

• Implement scalable ingestion pipelines leveraging AWS

• Develop integrations with Veeva/Salesforce

Benefits:

• Medical & dental benefits

• Flexible working hours

• Flexible time off policies

• Stock option grants

Experience Requirements:

• 3+ years of experience with data migration and ETL tools

• 3+ years of experience utilizing PySpark and Snowflake

• Strong proficiency in Python and SQL

• Experience with cloud platforms like AWS

• Knowledge of APIs and integration frameworks

Other Requirements:

• Familiarity with Veeva Vault or Salesforce

• Excellent communication and interpersonal skills

• Cover letter required with application

Responsibilities:

• Work with customers to discover and integrate data assets

• Collaborate to define technical requirements

• Configure platform to meet customer needs

• Build automated ETL workflows

• Lead troubleshooting during implementation phases

Benefits:

• Meaningful stock option grants

• Medical & dental benefits

• Flexible time-off

Experience Requirements:

• 8+ years in data engineering or platform implementations

• Strong proficiency in Python and SQL

• Experience with cloud platforms (AWS)

• Background in distributed systems

• Proven experience leading technical teams

Other Requirements:

• Understanding of data security and compliance

• Life sciences / pharma domain experience preferred

• Cover letter required with application

Responsibilities:

• Lead complex multi-system implementations

• Serve as escalation point for technical challenges

• Partner with Product/Engineering on roadmap priorities

• Establish implementation playbooks and tooling standards

• Coach and develop Senior and Intermediate Engineers

Benefits:

• Meaningful stock option grants

• Medical & dental benefits

• Flexible time-off

Experience Requirements:

• 8+ years in data engineering or platform implementations

• Strong proficiency in Python and SQL

• Experience with cloud platforms (AWS)

• Background in distributed systems

• Proven experience leading technical teams

Other Requirements:

• Understanding of data security and compliance

• Life sciences / pharma domain experience preferred

• Cover letter required with application

Responsibilities:

• Lead complex multi-system implementations

• Serve as escalation point for technical challenges

• Partner with Product/Engineering on roadmap priorities

• Establish implementation playbooks and standards

• Coach and develop Senior and Intermediate Engineers

Benefits:

• Medical & dental benefits

• Flexible working hours

• Flexible time off policies

• Stock option grants

Experience Requirements:

• Professional experience in developing and monitoring ML models

• Strong foundation in software engineering best practices

• Experience with cloud-based ML environments (AWS, Azure, or GCP)

• Deep proficiency in Python (NumPy, Scikit-learn, etc.)

• Experience with Dagster and Kubernetes

Other Requirements:

• Proficiency in SQL and exposure to DuckDB

• Understanding of statistical validation methods

• GitHub profile or public portfolio preferred

Responsibilities:

• Develop and optimize advanced ML models

• Design and build scalable ML pipelines

• Evaluate and iteratively enhance model performance

• Own end-to-end ML system lifecycle

• Articulate complex modeling concepts to stakeholders

Benefits:

• Medical & dental benefits

• Flexible working hours

• Flexible time off policies

• Stock option grants

Experience Requirements:

• 3+ years of experience in revenue or sales operations in SaaS

• Expertise in Salesforce administration and reporting

• Experience in commercial tooling platforms (Pardot, etc.)

• Proven experience in project management

• Proficiency in Microsoft Office and Google Suite

Other Requirements:

• Strong analytical skills and data-driven mindset

• Ability to join Toronto office bi-weekly

• Proactive and problem-solving attitude

Responsibilities:

• Maintain Salesforce and revenue tech stack

• Develop best practices for deal management and forecasting

• Lead cross-functional projects across commercial teams

• Audit tech stack for redundancy and manage renewals

• Create training materials for commercial tools

Benefits:

• Meaningful stock option grants

• Medical & dental benefits

• Flexible time-off

Experience Requirements:

• 5+ years of experience in data implementation or ETL

• Strong hands-on experience with PySpark, Snowflake, and SQL

• Experience designing complex data pipelines

• Knowledge of cloud platforms (AWS preferred)

• Experience with APIs and integration frameworks

Other Requirements:

• Life sciences or pharma experience strongly preferred

• Ownership mentality and mentoring mindset

• Cover letter required with application

Responsibilities:

• Own complex customer implementations end-to-end

• Build automated ETL workflows

• Translate business requirements into technical solutions

• Define data validation frameworks

• Mentor and support junior Implementation Engineers

Benefits:

• Equity

• Medical coverage

• Dental coverage

• Vision coverage

• Matching 401(k) plan

Education Requirements:

• Bachelor’s degree or equivalent professional experience

Experience Requirements:

• 2+ years of experience in wildfire response, fire service, emergency management, or disaster response

• 2+ years of experience in a customer-facing, training, operations, customer success, or program management role

Other Requirements:

• Willingness to travel approximately 25%

• Comfort working in a SaaS environment

• Strong communication and relationship-building skills

Responsibilities:

• Build and maintain strong relationships with fire departments and public safety organizations

• Drive outreach and lead onboarding and training for agencies

• Monitor engagement and usage to identify gaps in adoption

• Partner with Customer Success, Operations, and Sales to support deployments

• Gather feedback from agencies and relay insights to internal teams

Benefits:

• Equity

• Medical coverage

• Dental coverage

• Vision coverage

• Matching 401(k) plan

Education Requirements:

• Bachelor’s degree or equivalent professional experience

Experience Requirements:

• 0–2 years of experience in wildfire response, emergency management, or related field

• Experience in customer-facing, operations, training, or support roles preferred

Other Requirements:

• Willingness to travel up to 10–20%

• Comfort working with technology and learning new systems

• Organized and detail-oriented

Responsibilities:

• Assist Agency Engagement Managers in maintaining relationships with fire departments

• Coordinate outreach and schedule onboarding sessions

• Track engagement and usage and assist with re-engagement efforts

• Support field execution and deployments

• Collect feedback from agencies to help improve training materials

Benefits:

• Equity

• Medical coverage

• Dental coverage

• Vision coverage

• Matching 401(k) plan

Education Requirements:

• BS in Mechanical, Electrical, Industrial, Manufacturing, or Systems Engineering

Experience Requirements:

• 7+ years’ experience in process quality, manufacturing, or field operations quality

Other Requirements:

• Experience with RCAs and CAPA/8D

• Comfortable traveling for hands-on assessments

• Experience with SQL, Looker, Tableau, or Python

Responsibilities:

• Own process quality across the product deployment lifecycle

• Develop and maintain process FEMAs, SOPs, and installation checklists

• Implement and operationalize KPIs and dashboards

• Support root-cause investigations for process-related failures

• Partner with human-in-the-loop operations to define alert review QA

Experience Requirements:

• 5+ years of experience in enterprise account management, SaaS renewals, or strategic expansion roles

Other Requirements:

• Proven success meeting or exceeding renewal and expansion targets

• Proficiency in Salesforce and tools like Vitally

• Proficiency in utilizing AI tools such as ChatGPT or equivalent

• Strong account planning and forecasting skills

• Consultative, customer-first mindset

Responsibilities:

• Driving measurable revenue growth across a defined portfolio of accounts

• Leading executive-level engagements

• Identifying whitespace opportunities

• Building long-term relationships grounded in trust, outcomes, and innovation

• Executing structured QBRs with key accounts

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Visa sponsorship

• 3-4x all expenses paid company retreats

• Whatever equipment you need

Experience Requirements:

• Track record of leading teams in scale/start-ups

• Experience attracting and hiring world-class engineers

• Hands on engineering experience in Infrastructure/Platform Engineering

• Hands on engineering experience in Security Engineering

• Hands on engineering experience in SRE/DevOps

Other Requirements:

• Exceptional leadership, communication, and drive

• Experience scaling distributed systems or high-load infrastructure

• Strong security engineering background

• Deep hands-on DevOps expertise

Responsibilities:

• Hire, coordinate and drive a high performing team of Infrastructure, DevOps, and Security Engineers

• Mentor, incentivize, and manage engineers to deliver highly complex and uncertain deliverables

• Lead and unblock members of your team

• Work closely with the CTO and Technical Leads to scope and report on deliverables

• Hire and retain world class talent

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Visa sponsorship

• 3-4x all expenses paid company retreats

• Whatever equipment you need

Experience Requirements:

• Strong background in applied machine learning and/or reinforcement learning

• Experience training, evaluating, and optimizing models

• Proven experience building or scaling ML systems

• Strong software engineering fundamentals: data structures, algorithms, and system architecture

Other Requirements:

• Impeccable analytical and problem-solving skills

• Experience building highly performant, distributed systems

• Demonstrated experience operationalizing novel ML research

• Familiarity with decentralized or heterogeneous compute environments

Responsibilities:

• Build scalable, distributed ML compute systems

• Develop and optimize reinforcement learning and applied ML pipelines

• Collaborate with researchers and production engineers to design and run novel experiments

• Prototype and evaluate new ML architectures, tools, and frameworks

• Apply strong software engineering discipline for robustness and maintainability

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Visa sponsorship

• 3-4x all expenses paid company retreats

• Whatever equipment you need

Experience Requirements:

• Web3 experience - previously worked on a low-level web3 protocol

• Machine learning experience - previously worked closely with ML technologies

Other Requirements:

• Autonomy - able to drive things forward in a high entropy environment

• Deep appreciation of small-scale, high-powered teams

• Cryptography engineering (with a focus on GPUs)

• Understanding and navigating AI & Crypto regulations

• Cryptoeconomics and game theoretic design

Responsibilities:

• Further our mission to build the infrastructure to train ultra-high scale, open source, foundation models