KUNGFU.AI

Benefits:

• Competitive salary

• Company stock grant

• Gold-tier health, dental, and vision insurance (100% employer-sponsored, 50% for dependents)

• Health and dependent flexible spending accounts

• Short- and long-term disability insurance Unlimited vacation (encouraged to take it!)Paid parental leave

Education Requirements:

• Advanced degree in a human-centric discipline (Business, Social Anthropology, Psychology, etc.) preferred, but not required

Experience Requirements:

• Someone who can independently conduct SME interviews across a wide diversity of backgrounds and functions, quickly isolating core stakeholder, organizational and engagement dynamics that could affect the validity and/or feasibility of our recommendations

• Someone who can confidently and credibly hold a mirror up to a client, showing them things they are often not aware of and may be reluctant to admit

• Someone who can apply a product management and/or design thinking mindset to organizing client recommendations and roadmaps

• Someone who can collaborate seamlessly with some of the brightest engineers on the planet on engagements that require strategic alignment of engineering activities to ensure maximal client impact

• A people person. Someone whose emotional intelligence and ability to communicate to a wide range of audiences (C-suite to IC, technical and non-technical) in a wide range of scenarios is a proven strength

Other Requirements:

• Strong skills in business quantitative analysis including how business data is operationally originated and curated, used to generate financial reporting, capable of telling ‘stories’ about how organizations function, applied to compelling business cases supporting corporate valuation

• An interest in working collaboratively with data scientists on the Strategy Team to conduct exploratory data analysis and formulate and test specific hypotheses

• A basic fluency in data as it is applied in AI modeling

• An appreciation of autonomy, research, people, and technology

• US Citizen or Green Card Holder

Responsibilities:

• Tight articulation and quantifiable specification of the challenges and/or opportunities clients hope to address through the application of AI/ML

• Insider-level understanding of the nature of their business - from operational realities to legacy product roadmaps - acquired quickly and arrayed against a necessary grasp of the clients’ external strategic landscape

• Fresh insights into the organizational, leadership, cultural, structural, and process realities that define the context in which our solutions must succeed

• Evaluation of a client’s organizational assets - current and potential - based on a deep understanding of their full data assets and ecosystem (internal and external) as well as their core and differentiating core competencies

• Tightly specified and actionable recommendations - implicating all of the above - that promise to advance their successful application of AI/ML, including assessments of feasibility and potential impact and options for roadmapping activities several years into the future

Benefits:

• Competitive salary

• Company stock grant

• Gold-tier health, dental, and vision insurance (100% employer-sponsored, 50% for dependents)

• Health and dependent flexible spending accounts

• Short- and long-term disability insurance Unlimited vacation (encouraged to take it!)Paid parental leaveFree parking near our downtown office

Experience Requirements:

• Extensive hands-on experience building and deploying production machine learning solutions

• Expert practitioner in the technologies the team builds

• Stories to tell about mentorship, management, and hand in the growth of engineering teams that have built ML systems

• Demonstrated ability to form trusting relationships with those on your team

• Steward of psychologically safe and team-first environments. Prioritizing the responsible usage of AI and seeking out perspectives that differ from your own Experience working in early-stage companies where you’ve seen and led engineering teams through significant growth

Other Requirements:

• Excellent communicator who is capable of conveying complex systems to technical and non-technical audiences

Responsibilities:

• Providing technical and non-technical leadership to a team of 5-8 engineers, including career development, performance evaluations, and regular one-on-one meetings

• Collaborating with other Directors of Engineering to create new processes, implement engineering methodologies, identify best practices, define fiscal year budgets, etc.

• Acting as a cultural steward by promoting team growth and innovation, while fostering a scalable engineering organization

• Managing technical risks across various projects and ensuring smooth project execution

• Communicating technical decisions to stakeholders, resolving blocking issues, and keeping the engineering team operating smoothly

Benefits:

• Competitive salary

• Company stock grant

• Gold-tier health, dental, and vision insurance (100% employer-sponsored, 50% for dependents)

• Health and dependent flexible spending accounts

• Short- and long-term disability insurance Unlimited vacation (encouraged to take it!)Paid parental leave

Education Requirements:

• Masters or Ph.D. in Computer Science or equivalent work experience

Experience Requirements:

• Extensive professional experience building, designing, and deploying machine learning systems

• Proficient in programming in Python

• Experience with object-oriented programming, code hygiene, basic version control, etc.

• Comfortable working with deadlines and confident in time management

• Excellent interpersonal skills and the ability to brainstorm, collaborate and problem solve with engineers at all levels in order to deliver on client expectations efficiently and exceptionally

Other Requirements:

• Demonstrated experience in communicating high-level technical details to clients of technical and non-technical backgrounds

• Insatiable thirst for knowledge

• US Citizen or Green Card Holder

Responsibilities:

• Designing and developing bespoke machine learning models, transforming complex challenges into impactful deliverables for clients on-time and on-budget

• Conducting diverse machine learning experiments in a collaborative environment that values knowledge-sharing, inclusivity, and trust

• Partnering with engineers in a pair programming setting to translate theoretical models into robust, scalable solutions

• Engaging in client-facing activities, building lasting partnerships by effectively bridging cutting-edge technology with real-world business needs

• Leading and mentoring project teams, guiding them through machine learning projects and cultivating a culture of continuous improvement