Guideline Logo

Guideline

Engineering Talent Network

Reposted 11 Days Ago
Remote
Hiring Remotely in United States
102K-299K
Mid level
Remote
Hiring Remotely in United States
102K-299K
Mid level
Join Guideline's Engineering Talent Network for future opportunities. Ideal candidates are driven, collaborative, and adaptive problem solvers committed to making a positive impact.
The summary above was generated by AI

Everyone should have a simple, affordable way to save for retirement. At Guideline, our plans are low cost and highly automated. This makes it easy for companies to offer a valuable benefit—and easy for people to invest in their financial future with confidence.


This is not a specific job or position, it is a long-term Talent Network for Engineering talent. We get requests every week for hiring support, and by joining our Talent Network you will be first in line when something great and relevant comes onto the market.


While being good at what you do are table stakes, we believe the following characteristics will make you successful at Guideline:


DRIVEN

We’re committed to doing our best work every day. We want to learn from each other, grow with each other, and make a real impact on other people’s lives. We’re eager to take on new challenges and stretch goals to thrive professionally and personally.


COLLABORATIVE

We operate on trust, empowerment and openness. No matter the request, we’re all ready to jump in and support each other–be it to brainstorm, review or just lend an ear. We have your back. We make it a point to make ourselves approachable and available so we can tackle every challenge as one team.


ADAPTIVE

We’re always looking for ways to deliver better products and experiences. That means embracing change and pivots with tenacity—without losing sight of our goals, our team or our customers. We are creative and fast-paced problem solvers that are willing to fail, iterate and adapt to raise the bar again and again.

Guideline San Mateo, California, USA Office

3050 S Delaware St , #202, San Mateo, CA, United States, 94403

Similar Jobs

30K-80K
Entry level
Information Technology • Machine Learning • Natural Language Processing • Security • Software • Analytics • Cybersecurity
Join Recorded Future's Talent Network to be notified about upcoming Data Engineer positions, focusing on building data pipelines and analysis.
Top Skills: AWSBeautifulsoupDaskElasticsearchFasttextFlaskGitGrafanaInfluxdbJupyterKibanaMongodbPrefectPythonRabbitMQReactRedshiftSckikit-LearnSeleniumSentrySpacyWord2Vec
39 Minutes Ago
Remote or Hybrid
USA
67K-83K Annually
Entry level
67K-83K Annually
Entry level
Cloud • Edtech • Information Technology • Software
As a Business Development Representative, you'll generate business pipelines through collaboration, research, and outreach, qualifying leads and transferring them to Sales Representatives while achieving quotas.
Top Skills: Salesforce
48 Minutes Ago
In-Office or Remote
San Francisco, CA, USA
188K-301K Annually
Senior level
188K-301K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead a team of enterprise sales account executives, develop strategic sales plans, manage client relationships, and drive revenue growth for Atlassian's Work Management products.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account