About Highspot
Highspot is pioneering the category that is fundamentally changing the way
companies increase sales productivity. On a mission to transform the way
millions of people work with sales enablement, Highspot is committed to building
breakthrough software with a spark of magic. We believe a great place to work is
about more than the work – it’s about what the company stands for, and how it
authentically represents its values in the real world. To this end, we have put
intentional focus on creating equitable workspaces for each of our employees.
Our goal is to create a culture where everyone feels a deep sense of belonging
and is empowered to be an agent of change, with the ability to transform
themselves, their workplace, and their world.
About the Role
We are looking for a Senior Engineering Manager to join our growing Artificial
Intelligence and Machine Learning team. You will lead a team that works on
challenging problems. As a Manager you will be responsible for building and
scaling an ML team, managing the planning and prioritization of upcoming
ML-related work, coordinating multiple engineering teams, deploying and scaling
your models, building out our underlying AI/ML platform, and coaching team
members. You will work with the leadership team and product managers to evaluate
priorities, spot potential problems before they occur, and support the team's
technical roadmap with planned ML engineering investments. You are flexible, and
supportive and know when to step in and work hands-on with your team and when to
lean out and direct.
\n
What You'll Do
- Coordinate with product and engineering leadership to identify both the
long-term and short-term needs of the ML learning work, especially in the
areas of LLMs, agents, NLP, NN, and CV.
- Building and scaling the machine learning team
- Lead the team in training and deploying ML models to production with high
scalability, reliability, availability, performance, and cost efficiency.
- Lead the team in continuously improving existing ML models
- Lead the team in building data pipelines to support ML model training and
serving
- Lead the team in building a labeling system for supervised model training
- Contribute to our org-wide product ideation in collaboration with other
engineering leaders, engineers, researchers, product managers, and SMEs.
- Communicate complex concepts and the results of analyses in a clear and
effective manner to technical and non-technical audiences.
- Collaborate with other team members and cross-functionally to share knowledge
and discuss initiatives.
Who You Are
- 8+ years working as a professional software developer
- 4+ years working as an engineering manager
- 2+ years working in ML-related areas with a great understanding of machine
learning design patterns and best practices and experience in shipping
machine learning models into distributed, data-intensive production systems
- You can draw on substantial depth and breadth of management experience to
lead and grow a machine learning team.
- You collaborate well with teams with different
backgrounds/expertise/functions.
- You have expertise in full product lifecycle; technical designs, project
planning, iterative implementation, and successful product launches.
- You care about data-driven development, reliability, and responsible
experimentation.
- You understand the application of intermediate principles of data science
(machine learning, statistics, computer science, mathematics) to solve
technical problems.
- You have expertise in the ML Operations lifecycle; data acquisition, model
training, and model deployment.
- You have experience and passion for mentoring and encouraging collaborative
teams.
- You have experience in cultivating a strong engineering culture in an agile
environment.
Your Background
- B.S. or M.S. in Computer Science or related field or equivalent experience
- Knowledge of professional software engineering practices & best practices for
the full software development life cycle, including coding standards, code
reviews, source control management, build processes, testing, documentation,
and operations
Bonus Points For
- 2+ years of experience managing a machine learning team
- Knowledge of security and privacy
- Cloud Infrastructure: AWS, Kubernetes
- Building/maintaining large-scale production services
- Experience developing production ML models including LLMs
- Background in ML/Stats theory
\n
Base salary range: $196,000 - $265,000. Employees are eligible to receive stock
options and may also receive other forms of compensation.
The above represents total expected compensation for this role. Actual
compensation will depend on various job-related factors, including, but not
limited to, location, experience, and job qualifications.
Highspot also offers the following employee benefits for this position:
-Comprehensive medical, dental, vision, disability, and life benefits
-Group Retirement Savings Plan (RRSP) and matching employer contributions (DPSP)
with immediate vesting
-Flexible PTO
-Generous Holiday Schedule + 5 Days for Annual Holiday Week
-Quarterly Recharge Fridays (paid days off for mental health recharge)
-Flexible work schedules
-Access to Coaches and Therapists through Modern Health
-2 Volunteer days per year
-Monthly transportation allowance for employees that work in our Vancouver Hub
location
LI-DL1
Equal Opportunity Statement
We are an equal opportunity employer and value diversity at our company. We do
not discriminate on the basis of any grounds protected by applicable human
rights legislation, which may include age, ancestry, citizenship, color,
ethnicity, family status, gender identity or expression, genetic information,
marital status, medical condition, national origin, physical or invisible
disabilities, political belief, race, religion, or sexual orientation.
Did you read the requirements as a checklist and not tick every box? Don't rule
yourself out! If this role resonates with you, hit the ‘apply’ button."
