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Lead the design, implementation, and ongoing management of our company's data pipeline architecture.
Lead team architectural discussions
Manage a team of 2-3 data engineers
Work as an integral part of the data team and work closely with data Scientists, data Analysts and data Engineers.
Work directly with others (Developers, Product, and Internal stakeholders) to develop a solid understanding of the business application and requirements for which the application is being designed.

Sightfull, a startup specializing in advanced, fully automated solutions for analyzing and enhancing revenue streams for SaaS companies, is looking for a senior marketer. This is a unique opportunity to join a fast-growing startup. We are looking for a creative yet analytical marketer with a love for both data analysis (on the product side) and content writing (on the marketing side). You will be responsible for translating the amazing work that our product and data teams are doing into the content we need to win over our various audiences. You will lead product communications, sales enablement, market research, go-to-market channels, competitive intelligence, marketing use of product data, customer marketing, and internal updates. Responsibilities
* Create product-related communications, including website content, blog posts, video assets, sales decks, fact sheets, webinars, etc.
* Drive sales enablement, including creating training materials, story-based demo scripts, competitor/use case battlecards, etc.
* Research the market and work with the product team to develop our positioning, including target personas, customer journeys, value proposition, etc.
* Develop go-to-market channels such as assessments/trials, marketplaces, partners, service providers, etc.
* Create competitive analysis and market trend documents that cover both direct competitors and adjacent markets
* Drive the use of anonymized product data in marketing materials for statistics, reports, and benchmarking efforts
* Connect with our customers to work on word-of-mouth marketing, product reviews, case studies, awards, etc.

Key Responsibilities:
Customer Engagement: Gain a thorough understanding of the business challenges and data requirements of customers through detailed discussions and comprehensive data analysis.
Expertise Demonstration: Effectively communicate the value and potential of our data and AI solutions to meet and exceed customer needs.
Solution Architecture: Architect and design state-of-the-art solutions leveraging extensive knowledge of data and AI technologies.
Collaborative Leadership: Work closely with sales, engineering, and other teams to drive successful customer engagements and achieve desired outcomes.
Knowledge Expansion: Continually update and broaden your expertise in the latest data and AI technologies and industry trends.
Technological Leadership: Provide mentorship and technical guidance to team members, fostering their development and enhancing the teams overall capa

This is a full-time on-site role for a Validation engineer for Automation and Manual Tests. The Validation engineer will be responsible for Debugging, Good Manufacturing Practice (GMP), Validation, and Functional Verification. They will perform day-to-day tasks related to testing and validating our products. The company has a line of different medical products that integrate with windows, Android, IOS and web applications.