Education Requirements:

• BA/BS degree or equivalent experience.

Experience Requirements:

• A minimum of 5 years in customer-facing roles in SaaS, with at least 3 years of experience in technical consulting, technical account management, or solutions engineering.

• Ideally, you have experience with AI/Machine Learning/NLP technologies and are familiar with Helpdesks and CRMS like Zendesk, Salesforce, Kustomer, and others.

Responsibilities:

• Technical Product Enablement: Provide technical guidance to customers on our AI solutions, including demonstrating capabilities, advising on best practices, and helping customers integrate and maximize value.

• Solution Delivery & Scoping: Lead scoping sessions with customers to collect business requirements and work cross-functionally to ensure the delivery of the right technical solutions.

• Collaborative Leadership: Collaborate closely with internal teams (Sales, Implementation, Engineering, Product) to ensure smooth execution of customer solutions, from pre-sales to deployment.

• Thought Leadership: Become a trusted advisor, sharing knowledge and best practices to promote AI adoption and usage.

• Customer Advocate: Champion customer needs within Forethought, ensuring that customer feedback directly influences our product and service strategies.

Education Requirements:

• Bachelor’s degree is required.

• Master’s degree in Engineering, Business, or a related field preferred.

Experience Requirements:

• Minimum 10+ years combined business operations and consulting experience, with experience at a technology or hyper-growth company strongly preferred.

Responsibilities:

• Ensure the success of the business, the single accountable owner for the business P&L.

• Analyze market and industry opportunities and identify those with the highest potential.

• Build and test new offerings with clients, using initial client feedback to quickly achieve product-market fit.

• Work cross-functionally with teams such as Marketing, Legal, Finance, and Sales.

• Establish robust analytics and feedback loops to continuously iterate on your initial strategy, ensuring constant refinement and improvement.

Benefits:

• Professional Development

• Flexible Work Environment

• Room Allowances

Benefits:

• Professional Development

• Flexible Work Environment

• Room Allowances

Benefits:

• Professional Development

• Flexible Work Environment

• Room Allowances

Benefits:

• Professional Development

• Flexible Work Environment

• Room Allowances

Benefits:

• Professional Development

• Flexible Work Environment

• Room Allowances

Benefits:

• Professional Development

• Flexible Work Environment

• Room Allowances

Benefits:

• Professional Development

• Flexible Work Environment

• Room Allowances

Benefits:

• Professional Development

• Flexible Work Environment

• Room Allowances

Benefits:

• Professional Development

• Flexible Work Environment

• Room Allowances

Education Requirements:

• BSEE or MSEE focused on Digital IC design

Experience Requirements:

• 7+ years of industry experience

• Completed at least 1 complete product design cycle

• Experience with Concept --> Architecture --> RTL --> P&R --> Tapeout --> Silicon Debug / Test --> Product release

Experience Requirements:

• 5+ years of experience in financial roles — either accounting or finance (investment banking, venture capital, corporate finance) background is acceptable.

• Experience working with or within organizations under 100 employees.

Responsibilities:

• Lead the preparation of quarterly investor updates, financial statements, and reporting packages.

• Oversee the collection and organization of financial information for taxes, audited financials, and compliance reporting.

• Develop and present financial models for internal budgeting and external projections to support fundraising efforts.

Experience Requirements:

• 2+ years of industry machine learning experience.

Responsibilities:

• Adapt Stratum’s deep learning models to a given mine.

• Develop and maintain high-quality machine learning code using Python.

• Unlock ways to create better resource and metallurgical models with deep learning for one specific mine, or sometimes mines in general

Experience Requirements:

• 5+ years of experience in HR leadership, People Operations, or a similar role, preferably in a startup company.

• Proven experience developing and implementing HR processes from the ground up.

Responsibilities:

• Lead and execute recruitment processes for technical and leadership roles.

• Conduct initial screener interviews, build pipelines, and manage relationships with top-tier talent.

• Develop and implement innovative strategies to attract and retain high-performing employees.

Education Requirements:

• Tertiary qualification in Geology or Earth Science.

Experience Requirements:

• Extensive experience experience in mineral resource evaluation (>20years), working in both open pit and underground mining environments.

Responsibilities:

• Lead an expanding resource geology team, providing expertise on resource evaluation methodologies, and ensure the quality control of all resource models and geometallurgical models.

• Audit the clients mineral resource (Kriging) models and Stratum’s generated models.

• Assist in the audit and analysis of complex mine site databases composed of varied geological and geochemical data to evaluate critical issues.

Education Requirements:

• Tertiary qualification in Metallurgy or Mineral Process Engineering.

Experience Requirements:

• Extensive experience experience in mineral processing including evaluation of third party operations (>20years). working in both open pit and underground mining environments.

Responsibilities:

• Lead an expanding metallurgical team, providing expertise on mineral processing methodologies, and ensuring the quality control of all geometallurgical models.

• Audit the clients geometallurgy (Kriging) models and Stratum’s newly generated Stratum models.

• Assist in the audit and analysis of complex mine site databases, focussed on the measured geometallurgical parameters and report on potential issues with the data and the client’s conclusion.

Experience Requirements:

• 5+ years of technical recruiting experience, with demonstrated success hiring for ML/AI or highly technical roles.

• Experience building and implementing HR processes in a fast-growing environment.

Responsibilities:

• Develop and execute talent acquisition strategies for specialized ML, data science, and software engineering roles.

• Source, screen, and evaluate candidates with advanced mathematical and technical competencies.

• Administer technical screening processes including custom assessments.

• Coordinate and improve the technical interview process, working closely with engineering leadership.

• Build and maintain a pipeline of candidates with specialized skills, particularly in ML engineering.

Benefits:

• 100% paid comprehensive medical coverage, including vision and dental, and HSA plan options for employees and their dependents

• Health & wellness app reimbursement

• On-site gym

• Free lunch

• 12 company holidays and flexible time off Generous parental leave: 18 weeks for birth parents and 12 weeks for non-birth parents Hybrid work environment: 3 days a week onsite and two days work from home Twice yearly multi-day offsites Safe harbor matching 401(k) Tax Advantaged Accounts including FSA, Dependent Care FSA, HSA, and commuter benefits Employer Paid Basic Life & AD&D Short Term and Long Term Disability

Education Requirements:

• PhD in biological sciences

Experience Requirements:

• at least 5-year experience in RNA-targeted small molecule discovery

• Proven hands-on experience in working with RNA targets and related screening technologies including but not limited to ASMS, ALIS, Microarray, SPR, ITC.

• Ability to evaluate newer methods as appropriate and implement novel approaches to screen RNA as needed.

• Ability to independently drive, manage, execute, and deliver results on key programs under tight timelines.

• Ability to work in a collaborative environment to enable integration of state-of-the-art technology platform with RNA biology to accelerate the program pipeline.

Responsibilities:

• Work with company leadership to advance our strategy for targeting RNA with small molecules and RNA degraders.

• Develop RNA screening strategy, establish screening platform and relevant technologies internally and/or in collaboration with external partners including but not limited to ASMS, Microarray, SPR, ITC, and/or other relevant biophysical methods. In addition, evaluate any new methods and implement them as necessary.

• Enable RNA-directed small molecule drug discovery efforts. Establish validated processes for small molecule hit ID, validation, and lead optimization for RNA targets. Deliver on program requirements in a timely manner.

• Collaborate with the drug discovery, ML data and ML teams to build an integrated workflow to support RNA biology programs.

• Provide scientific leadership and perform day-to-day lab activities.

Experience Requirements:

• At least 5 years generating clear, well-documented, and well-tested code

• Built large C++ or Rust codebases

• Experience working on high performance or real-time applications

• Worked in a multi processor – multi threaded environment.

• Worked with cloud deployed applications

Other Requirements:

• Familiarity with Linux driver-level / kernel-level programming

• Experience of coaching and developing others

Responsibilities:

• Shipping Rust applications for real time deployment of machine learning powered services

• Optimising code for the latest larger server, multicore CPUs

• Creating code to handle high throughput, timing critical services in local and cloud based data centers

• Releasing customer and open source application repositories

• Working with our ML team and ML frameworks for inference optimization Working with our acceleration team to implement fully optimized applications Specifying customer and internal APIs Developing best practice ways of working and test infrastructure