Develop a state-of-the-art product. Make sense of the future. Use data to drive business.
At CB Insights we build products that help clients make sense of the future and drive their businesses forward using data. Our system retrieves large amounts of data in real time on the private market, and then extracts knowledge and insights from that data. We present those analytics through a dynamic user interface which enables our clients to make strategic business decisions around corporate strategy, innovation, investments, etc. We are hiring for a backend engineer to help drive our business forward.
The Role You’ll Play
Here at CB Insights, our backend software engineers build robust services and scalable data processing jobs. This Backend role is on a team that focuses on the search functionality of our platform.
About the team:
This team is one of the most internally collaborative team’s we have at CBI! We get direct feedback from our users while helping drive our core business. Working in the CBI engineering department is unique. Since we are a smaller team without a lot of bureaucracy, we are able to really push the envelope without going through a lot of red tape. It is also a great team to learn from others and grow in your career, as well as a chance to enact any ideas you may bring to the table. We have frequent team lunches and happy hours and we’re a very open and friendly group.
Your Main Tasks:
- Develop features, improve search workflow and performance on a small Agile team.
- Mentor other engineers in Elasticsearch best practices.
- Consistently and frequently deliver solutions that are well-engineered, maintainable and tested within the agreed upon time frame.
- Participate in code reviews and sprint planning, help identify opportunities, work through challenges and share knowledge with colleagues.
- Collaborate with the product team to understand business requirements.
What You Bring to the Table:
- 3+ years professional experience in Go, Python, and/or JavaScript
- Experience with Elasticsearch or similar search engines
- Familiarity with search relevancy techniques to tune search results
- Relational database proficiency (e.g. MySQL, Aurora, PostgreSQL, Oracle)
- Proficiency developing in a Mac/Linux environment
- An interest in helping out across the stack as needed
- BS in Computer Science or similar work experience; advanced degrees also acceptable ;-)
You’ll Be Successful Here if You Are:
- A believer in Lean and Agile values and principles for building software
- Excellent written and verbal communication skills
- Excellent problem solving and analytical skills
- Helpful, Humble Human
Please note this is a US-based role.
In addition to base salary, this role is also eligible for a bonus opportunity.
A little bit about our pay practices: Typically, we will hire at our Hiring Target, but actual starting pay may be based on several factors, including, but not limited to, market rate, the qualified pool of candidates, internal compensation, candidate experience, and budgetary constraints.
Compensation
$135,000—$171,000 USD
What we're all about
We're on a mission to advance the technology economy -- one driven by innovation, markets, and entrepreneurship. We believe a thriving technology economy powers a thriving society. By synthesizing, analyzing and visualizing millions of data points, we deliver a 360° view of the technology economy – powering the insights that buyers, sellers, investors, and advisors need.
As a CBIer, you can expect to leverage generative AI to drive creativity, efficiency, and strategic decision-making. Our culture is infused with the spirit of exploration and experimentation – and AI is a catalyst for new ideas and breakthrough solutions.
CB Insights Leadership Principles
At CB Insights, everyone is expected to be a leader. These leadership principles are like an operating system for our culture. Use the principles as a practical guide to making decisions.
We are what we repeatedly do. By living the principles outlined below, we will build an outstanding company and do insanely great work.
- Solve customer problems. It’s our highest calling. Designing a product? Start from the customer problem it solves. Updating our sales process? Flip it around, and simplify the customer buying process.
- Think BIG! Start small. Great changes start with a first step. Find it. Take it. Build a system around what works. This is the secret to bringing a vision to life.
- Go and see with your own eyes. Meet the customer, use the product, talk to the field. Great systems aren’t built from afar.
- Priorities: Choose one. Leaders give the gift of clarity. They find the most important thing and do it. Max power. Top speed.
- Danger zones:
- Bureaucracy. May the best ideas and execution win.
- Complexity. Leaders use frameworks and systems to simplify.
- No commitment. Leaders don’t compromise just to get along. Debate. Disagree. But once a decision is made, commit.
- Leaving what’s important unsaid or undone. No “circling back.”
- Data informs. Insight transforms. Pull the thread. Ask why. Leaders are curious. They use what they learn to create clarity.
- Insist on excellence. Leaders set high standards and overcome obstacles. They do the kind of work they’re excited to share with the world.
- Live off the land. Leaders creatively use resources already available to them – especially AI – to execute and automate their work.
- Good judgment. Leaders have it. Where it comes from: insight, listening, first-hand experience. How to apply it: carefully on big, hard to reverse decisions. Swiftly on limited, easy to reverse ones.
- Help others. Leaders know we’re building this together.
You’ll want to work here if
- You are excited about how AI is transforming tech
- You are hungry for feedback and the chance to grow
- Your instinct is to work smarter not harder
- You love developing as a SME with a POV
- You are motivated by challenges and big ideas
- You believe in radical personal accountability
You don’t want to work here if:
- You are a tech pessimist
- Radical Candor is not your style
- You like to build big processes
- You stay @ the 30,000 foot view instead of digging into the details
- You prefer to operate in your comfort zone
- You expect to be judged by outputs instead of outcomes
What we offer:
- Award-winning culture: recognized by Inc., Glassdoor, and Built-in for leadership, career opportunity, and engagement
- Industry Insight: over 500k+ people follow our tech newsletter: sign up here
- Holistic compensation: cash, rich healthcare insurance benefits including PPO, HSA, and FSA options, Gympass, multiple mental health resources, pet insurance, 401k match, annual education stipend, and generous paid time off.
About our pay practices
We believe in recognizing and rewarding excellence. Our commitment to fairness means that compensation decisions consider factors like qualification, location, internal equity, and market data.
Our compensation philosophy goes beyond base salary. To align with your dedication and success, we offer total compensation as innovative as the work we do - this includes variable cash potential, 401k matching, flexible healthcare options plus mental health and gym resources, professional development and education stipends, great PTO, and more.
Equal Opportunity Employer: At CB Insights we know that innovation comes from collaboration, belonging, and diverse perspectives. We’re proud to be an equal opportunity employer - all applicants are considered for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
What We Do
CB Insights fuses machine learning, algorithms, data and visualizations together to help large enterprises ask, answer and articulate compelling answers to difficult questions - about growth, about competition and about the markets and technologies of the future.
Why Work With Us
It's quite simple: the people, product and personality. CB Insights team is one where the brains are big and egos are small. We have an industry standard product loved by customers and we've taken data and analytics to predict tech trends and made it conversational and interesting.
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