Okay, I've searched for Technical Delivery Manager roles in New York, NY, requiring a Bachelor’s degree in Computer Science or related field, 5+ years of experience, proficiency in SQL and data visualization tools, with a full-time schedule. I have found 67 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Technical Delivery Manager (TDM) role at Snorkel AI is fundamentally about orchestrating complex, cross-functional AI data projects that span from conceptual ideation through to on-budget, high-quality delivery. This position requires a blend of deep technical understanding—especially around data pipelines, ingestion and transformation using SQL, JSON, and query management—and superior project management skills, including risk mitigation, budgeting, and stakeholder communication. The candidate must translate often ambiguous, cutting-edge AI requirements into actionable plans, coordinating diverse teams that may include data scientists, engineers, client success managers, and executives. Success looks like seamless project flow despite the rapid evolution of AI technology, clear visibility into progress and risks for all stakeholders, and delivery of AI data solutions that are adaptable and scalable. The candidate will face the challenge of balancing innovative project demands with resource constraints, often navigating uncertainty with agility and clear communication. Strong proficiency with data visualization tools points to an expectation that the TDM not only manages projects but also leverages data insights to drive decision-making and maintain transparency. Experience with Agile methods and startup growth dynamics further suggest the role demands flexibility and an energetic approach to driving ownership and cross-team alignment.

Company Analysis:

Snorkel AI operates at the forefront of AI data development platforms, transforming labor-intensive AI creation into programmatic, scalable solutions that dramatically accelerate how enterprises build AI models using their own data. This positions Snorkel as an innovative and growing disruptor in the AI ecosystem, trusted by top-tier clients including major banks and government agencies, which adds a layer of complexity and high expectation for reliability and compliance. The company’s roots in Stanford's AI Lab and its backing by prominent venture capitalists indicate a strong research foundation combined with aggressive go-to-market ambitions, requiring roles like the TDM to operate at the intersection of cutting-edge technology and pragmatic business execution. Its culture emphasizes end-to-end ownership, diversity, equity, and inclusion, and personal growth, suggesting a collaborative and mission-driven environment that values proactive problem solving and initiative. For the TDM, this means not only managing projects but embracing Snorkel’s innovative spirit, working flexibly in a fast-moving context, and contributing to a company culture that prioritizes impact and diversity. The fixed-term nature of the role with potential conversion underscores a performance-driven atmosphere where demonstrating value quickly is critical. Being part of a relatively flat, mission-driven organization likely grants the TDM substantial visibility into strategic priorities and opportunity to influence product and customer outcomes directly.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to manage a complex technical project involving multiple stakeholders with conflicting priorities. How did you keep the project aligned and on track?
• Behavioral: Describe an occasion when you identified a significant risk during a project. How did you communicate and mitigate that risk?
• Behavioral: Share an experience where you had to adapt a project plan quickly due to resource constraints or changing requirements. What was your approach?
• Behavioral: How have you encouraged cross-functional teams to take ownership of their contributions to a larger technical initiative?
• Technical: How would you approach translating a high-level, abstract AI project requirement into a detailed project plan?
• Technical: Can you explain your experience working with SQL and JSON to manage data workflows, and how you've used those skills to support project delivery?
• Technical: What tools and techniques have you used to visualize data and present project updates to both technical and non-technical stakeholders?
• Technical: Describe your familiarity with Agile methodologies and how you've applied Agile project management practices to technical delivery in previous roles.
• Situational: Imagine a key data pipeline component critical to your project fails days before a milestone deadline. How would you handle this situation to minimize impact?
• Situational: You discover that project expenses are exceeding budget forecasts midway through the project lifecycle. How do you approach communicating this to stakeholders and correcting course?
• Situational: A client requests a significant change to the project scope late in development. How do you evaluate, communicate, and manage this change?
• Company Fit: What about Snorkel AI’s mission to democratize AI development excites you and aligns with your professional goals?
• Company Fit: How do you see your background and skills contributing to Snorkel AI’s focus on fast, practical AI development?
• Company Fit: With Snorkel AI’s emphasis on diversity and inclusion, how would you foster these values within the technical teams you work with?
• Questions for Interviewer: How does Snorkel AI currently measure success for the Technical Delivery Manager role in the first 6 to 12 months?
• Questions for Interviewer: Can you describe the primary challenges the TDM might face in balancing innovation and resource constraints here at Snorkel AI?
• Questions for Interviewer: How does Snorkel AI support career growth and development for employees in technical management positions?