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Senior Data Engineer

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Tiger Analytics is looking for an experienced Lead Data Engineer to design, build, and optimize scalable data platforms and real-time data solutions. The ideal candidate will have strong hands-on expertise in Python, SQL, cloud platforms, distributed data processing, streaming technologies, and modern cloud data warehouses.

Key Responsibilities:

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Sales Executive, AI & ML Services (US, Remote)

posted by: spj_bot

About the role

Azumo is hiring a Sales Executive to originate new AI and ML services engagements with enterprise and mid-market companies across the US and Canada. Over 80% of our new revenue now comes from AI-driven projects, and we need a seller who can identify the right opportunities, navigate technical buying committees, and close deals with real engineering scope.

This is a hunter role. You will own pipeline generation, qualification, and close. You will work alongside our engineering leadership on technical discovery and proposal development. You will sell into CTOs, VPs of Engineering, Heads of Data, and their teams.

What you'll do

Originate new AI and ML services opportunities through targeted outbound, warm introductions, partner referrals, and inbound lead follow-up

Build and manage a qualified pipeline across enterprise and mid-market accounts in the US and Canada

Run technical discovery in partnership with our solutions and engineering leadership, converting business problems into defensible engagement scopes

Shape proposals, SOWs, and commercial terms that reflect the real complexity of AI implementation work

Navigate multi-stakeholder buying processes involving technical evaluators, finance, legal, and executive sponsors

Maintain accurate forecasting and pipeline hygiene in HubSpot

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