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BigID

Solutions/Presales Engineer - Pacific Northwest (Seattle)

Posted Yesterday
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In-Office
Seattle, WA
135K-150K Annually
Mid level
In-Office
Seattle, WA
135K-150K Annually
Mid level
The Solutions Engineer will act as a technical expert in presales situations, provide customer solutions, and support sales with product insights and implementation guidance.
The summary above was generated by AI

Who we are:

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

We are building a global team passionate about innovation and next-gen technology. BigID has been recognized for: 

  • BigID Named Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec Awards
  • Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies
  • CRN 100 list named BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies (3 years running)
  • DUNS 100 Best Tech Companies to Work for
  • Top 3 Big Data and AI Vendors to Watch' in the 2023 BigDATAwire Readers and Editors Choice Awards
  • 2024 Inc. 5000 list for the 4th consecutive year!
  • Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity

At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.

Who we seek:

We are expanding our Solutions Engineering team. We're always looking for top Engineers to join our winning team. This team works closely with innovative companies interested in leveraging BigID’s platform. You will use your knowledge to influence customer decisions, provide insightful solutions, and drive successful proof-of-value implementations. With your potent technical capabilities, critical and creative thinking, and passion for fast-paced problem-solving, be ready to hit the ground running.

We're seeking someone based in PST.

What you’ll do:

  • Work with the Sales team as the technical subject matter expert for BigID’s platform during customer calls and presentations
  • Use market and technical knowledge to consult on best practices and offer constructive direction for solution architecture and design
  • Stay up-to-date on relevant competitive solutions, products, and services/offerings
  • Drive customer success with real-world knowledge and recommendations
  • Develop a trusted advisory role with customers, communicating upcoming product changes, enhancements, and serving as an internal voice of the customer
  • Work with the post-sales teams to ensure every customer realizes the value of the BigID Platform and continues to contribute to the success of BigID customers

What you’ll bring:

  • Interpersonal communication, customer relationship, executive presentation skills
  • Excellent organization skills and ability to multitask in a fast-paced startup environment
  • Demonstrated ability to address customer needs and provide best practices
  • Strong background in Big Data, AI, privacy, data governance, or information security
  • Good troubleshooting abilities and a methodical approach
  • Ability to describe complex technical concepts to diverse audiences: executives, business stakeholders, and technology practitioners
  • Passion for demonstrating solutions and ability to provide technical input during the sales process
  • Broad understanding of enterprise data architecture, privacy, and security technologies
  • Ability to plan, execute and close out a Proof of Concept with minimal assistance and oversight
  • Desire to share knowledge through excellent documentation creation and RFI/RFP responses
  • Some prior experience with one or more of the following: RDBMS systems, no-SQL data stores (MongoDB, Cassandra, DynamoDB), Hadoop technologies (such HDFS, Hive, HBase), cloud technologies (AWS EMR, S3, DynamoDB, Redshift, Azure file and blob storage, etc.)
  • Prior experience with Identity and Access Management or Data Loss Prevention tools is a plus
  • Experience with Linux or container frameworks (such as Docker and Kubernetes) is a strong plus
  • Minimum of 3 years in a pre-sales or consulting role within a multinational environment
  • Bachelor’s degree in computer science or related discipline (master’s degree a plus)

Our Values:

We look for people who embody our values - Care, Do,Try & Shine.

  • Care - We care about our customers and each other
  • Do - We do what it takes to make a positive impact
  • Try - We try our best and we don’t give up
  • Shine - We shine and make it our mission to always stand out
BigBenefits: 💻 Work from home with a global remote-first community Global Culture Corner Flexible PTO and Quarterly Volunteer Days💸 Equity Participation 100% employer-covered medical, dental, and vision options available to you🐶 Additional insurance benefits like pet insurance and legal assistance 📚 Learning & Development Opportunities  Fidelity Employer Sponsored 401K  Paid Parental Leave

The annual base salary range is $135,000 - $150,000. Actual salaries will vary and are based on a candidate’s qualifications, skills, and competencies. Salary is just one component of our Compensation Philosophy. Variable/Bonus Compensation & Equity Incentives align with individual and company performance.

#LI-YD1

#LI-Hybird

We’re committed to creating a culture of inclusion and equality – across race, gender, sexuality, and disability – where innovation and growth thrive, every voice is heard, and everybody belongs. Learn more about us here.

Job Candidate Privacy Notice

Must be able to exercise independent judgment with little or no oversight.

BigID is an E-Verify Participant.

Top Skills

AI
AWS
Azure
Big Data
Data Governance
Docker
Hadoop
Information Security
Kubernetes
Linux
No-Sql Data Stores
Rdbms

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