Overview
ABOUT US
Full job description
ABOUT US Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products.
Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products.
Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company whose investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.
Summary As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales engineering team to support customer-facing initiatives across solution design, pre-sales, and technical enablement. Your role involves understanding customer requirements through active listening, identifying pain points, and assisting in architecting tailored solutions to complex data challenges. We seek passionate, self-driven individuals eager to make a tangible impact, learn continuously, and deliver solutions that enable organizations to unlock the full potential of data observability.
This is a 4 month assignment, 40 hours per week, with required on-site presence at 151 Charles Street West, inside the Communitech Innovation Center.
Gain valuable experience at a fast-growing tech startup in Canada.
Work on real-world projects and contribute to our open source initiatives to the Apache community.
Collaborate with a highly skilled and supportive team.
Mentorship and guidance from experienced professionals in the tech industry.
Opportunity for future employment and career growth.
Join the team that coined the term Data Observability.
Collaborate with the sales engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
Collaborate with the sales engineering team to learn, orchestrate and manage SE labs and demo instances on cloud and on-premise ecosystems.
Participate actively in the customer proposals lifecycle, including Demos, RFIs, RFPs, and POCs.
Build a compelling ROI model for prospects incorporating technical solutions and customer business value.
Build automation scripts or a go-to-market asset (like a powerpoint) that can be used in the most effective ways.
Commit to continuous learning and professional development, adapting to new tools, languages, and platforms as required.
This position is perfect for individuals who are passionate about technology, eager to solve complex business problems, and possess a strong customer-centric mindset.
Currently pursuing a degree in Computer Science, Software Engineering, or a related field.
Strong programming skills in languages such as Java, Scala, and Python.Knowledge of data structures, algorithms, and software development principles.
Experience with distributed computing, big data technologies, and cloud platforms is a plus.
Excellent problem-solving and analytical abilities.
Strong understanding and hands-on experience with Kubernetes, including deploying, managing, and scaling applications.
Familiarity with Kubernetes concepts such as Pods, Services, Deployments, StatefulSets, ConfigMaps, and Secrets.
Understanding of the big data ecosystem, including data ingestion, processing, and storage technologies.
Strong communication skills, both verbal and written, to effectively collaborate with cross-functional teams.
Proven ability to work well in a team environment, contributing to a collaborative culture.
Enthusiasm to learn and adapt to new technologies.
Co-op Work History
Resume
Grade Report
Apple Mac Equipment
Catered lunch once a week in the office
Gym with onsite showers
Games Rooms
Designated bicycle room
Drinks and snacks
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