Senior Enterprise Project Manager, Stardog
AI data assistant for enterprise companies
Job no longer available
AI data assistant for enterprise companies
21-100 employees
Job no longer available
21-100 employees
Company mission
To empower every data citizen to make knowledge-informed decisions.
Role
Who you are
- Bachelor’s in computer science, management information systems or business administration or the equivalent experience
- Overall 10+ years of enterprise project management experience in B2B SaaS
- Previous experience with subscription billing and/or revenue implementation projects is a strong plus
- Extensive knowledge of project management standards, software, processes, procedures and guidelines as well as various project management methodologies and life cycles
- Proficiency with project management software (Rocketlane, Certinia, Wrike, Netsuite, Smartsheets etc)
- Proven experience collaborating with top-tier Global System Integrators (e.g. Deloitte, PwC, Ernst & Young (EY), Accenture)
- Exceptional communication, leadership and interpersonal skills
- Comfortable working with and managing ambiguity and uncertainty
- Demonstrated experience leading project teams of architects, consultants, and developers
- Demonstrated experience driving adoption through achieving business goals and innovation
- Demonstrated experience working with a cross-functional and geographically dispersed team
- PMP certification is a plus
What the job involves
- Responsible for overseeing the successful delivery and implementation of Stardog’s Enterprise Knowledge Graph and Voicebox solutions for our customers. You will manage the end-to-end project lifecycle, ensuring alignment with customer requirements, on-time and on-budget delivery, and high-quality outcomes.
- Acting as the primary liaison between customers and internal teams, you will coordinate resources, mitigate risks, and provide clear communication throughout the project.
- You will handle multiple concurrent projects, driving continuous improvements in processes, and ensuring a seamless transition from implementation to ongoing support, enabling customers to realize the full value of our solutions. We are a remote-first company. You need to be comfortable with and have experience working remotely.
- You must have strong communication skills as much of our interactions will be over email, chat, and PR where it's harder to get your point across
- Lead the end-to-end project lifecycle, from initiation through to execution and delivery
- Develop detailed project plans, timelines, and resource allocation strategies
- Monitor project progress, adjust schedules, and identify any potential risks or delays
- Define project scope, objectives, and deliverables that align with client expectations and business goals
- Serve as the primary point of contact for clients and key stakeholders
- Maintain strong relationships with clients, ensuring high satisfaction and successful delivery
- Facilitate regular project status meetings with stakeholders to communicate progress, risks, and milestones
- Ensure effective communication across internal teams and clients to align on expectations
- Identify project risks and develop mitigation strategies
- Address potential project bottlenecks, and proactively resolve issues as they arise
- Communicate potential risks to internal and external stakeholders in a timely manner
- Escalate issues as necessary to appropriate stakeholders in a timely manner and implement solutions to address project challenges
- Lead cross-functional teams including product, engineering, professional services, and customer success to ensure successful project execution
- Collaborate closely with pre-sales and technical teams to ensure seamless handoff and a strong foundation for implementation projects
- Foster collaboration, accountability, and team engagement across departments
- Ensure projects are completed on time, within budget, and meet the specified quality standards
- Conduct post-project evaluations to identify areas for improvement, and lessons learned
- Continuously improve project management processes to enhance efficiency and delivery
- Identify and implement process improvements to enhance project delivery efficiency and customer satisfaction
- Stay up to date with industry best practices and emerging trends in SaaS project management
Our take
Leading Enterprise Knowledge Graph platform, Stardog, turns data into knowledge to power more effective digital transformations; by making real-world context machine-understandable, the company facilitates enterprise data integration and unification.
Stardog works side-by-side with a company’s existing stack to accelerate insights from data lakes, data warehouses, or any enterprise data source with up to 320% ROI (according to a commissioned Forrester Consulting Study). And the company has several major enterprises using its software, including NASA, Boehringer Ingelheim, and Schneider Electric.
The fast-growing company is venture-backed and has been investing in hiring and further development of new products. Its game-changing approach to data integration and analytics acceleration ensures enterprises have access to a reusable semantic data layer, but also provides mainstream data citizens with the power to build and use a semantic layer for the first time. With a solid foundation, Stardog is well set to see continued growth as its rapidly expanding customer base increases demand for its product.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
May 2020
$3m
SERIES B
Oct 2019
$9m
SERIES B
Total funding: $17.7m
Company HQ
Chelsea, New York, NY
Leadership
Kendall Clark
(Co-Founder & CEO)Founder & former CEO of Complexible. Previously worked as the Managing Editor of O'Reilly's XML site.
Michael Grove
(Co-Founder & SVP Engineering & Information Security)Held several roles at the company prior to SVP, including VO of Engineering and Senior Software Engineer. Former COO of Lightening Round Entertainment.
Evren Sirin
(Co-Founder & CTO)Former Senior Researcher at Complexible Inc. Received their PhD in Computer Science from the University of Maryland.
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