Remote Machine Learning engineer jobs
Apply NowJubil ID: 110
Company: Turing.com
Location: Anywhere
Description:
Build the future of the AI Data Cloud. Join the Snowflake team.Our AI ML Applied Field Engineering
Qualifications:
10+ years of experience in a pre-sales capacity
including 5+ years in a leadership role managing and mentoring high-performing teams
Benefits:
This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $260
400 - $362
250
The estimated base salary for this role is $195
300 - $271
688
Additionally
this role is eligible to participate in Snowflake’s equity plan
The successful candidate’s starting salary will be determined based on permissible
non-discriminatory factors such as skills
experience
and geographic location
This role is also eligible for a competitive benefits package that includes: medical
dental
vision
life
and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits
Responsibilities:
In this role you will be managing a team of exceptional AFEs who partner with our Product sales team to understand the needs of our customers
strategize on how to navigate sales cycles
and provide value-based evaluation scenarios including demonstrations
labs
POCs
and pilots to win business
As a Senior Manager
you will provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Platform as a critical component of their enterprise data architecture and overall ML ecosystem
This is a customer facing role and you’ll get to directly work with the most cutting-edge strategic customers across North America
In this role you will work with leaders across sales teams
product management
and technology partners to leverage best practices and reference architectures highlighting Snowflake as a core technology enabling platform for the emerging Data Science workload throughout an organization
Reporting to the Head of AI ML AFEs
you will play a hands-on role in building and managing a team of AFEs and owning the revenue and consumption responsibilities for the group
Build and lead a team of AFEs who serve as our core product introduction
evaluation and education experts
Coordinate cross functional dotted line resources to achieve your team goals
Partner with sales leadership to achieve regional quota and consumption targets and ensure customer success
Provide guidance to revenue leaders on sales strategy
product obstacles/gaps and represent the team’s needs to executive staff
Interpret complex problems
create simple solutions and collaborate closely with prospects
channel partners and our sales team to deliver winning solutions
Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables
conferences
events
blogs
webinars
and whitepapers
Collaborate and maintain a close working relationship with product
engineering
sales
marketing and services
Play an active role in sourcing and screening potential candidates and managing the entire interview process
Serve as an inspiring player/coach
mentoring team members to develop their professional skills while leading by example in customer presentations and strategic initiatives
Foster a culture of continuous learning and growth by providing regular coaching
feedback
and career development opportunities that help team members reach their full potential
Build and nurture a high-performing team through hands-on leadership
professional development planning
and creating pathways for career advancement while delivering exceptional results to customers and prospects
Innovate and implement strategies that will uplevel your teams skills
