Principal Product Manager at Tidelift Remote

The role We're looking for a principal level product manager to work closely with our VP of Product, product delivery, and go-to-market teams to deliver our unique lifter-driven data product to the market. You will guide our product lifecycle from research through development and into sales and go to market planning, learning, and iteration. In this role, you will lead a critical work-stream within the company’s overall product strategy and vision.

Tidelift is creating a new category of solution within software supply chain security. Roads and Bridges and the recently released National Cybersecurity Strategy from the U.S. government are critical background reading to understand our problem space. As such, this role requires disciplined creativity, and your work will be evaluated against demand creation and positioning outcomes as well as effective collaboration with stakeholders across product delivery, sales, marketing and customer success.

You will need to be comfortable getting technical with open source maintainers as a primary customer, while also advocating for the product as a solution at enterprise and government scale. The ideal candidate for this role must be able to ensure a first-class user experience for our partnered maintainers, while also delivering business value for customers and prospects.

Principal roles at Tidelift include a mentorship element, and managing earlier career team members within the product organization is one potential growth path for this role depending on candidate interest.

Key responsibilities:

Rapidly & Reliably delivering product Shipping small, iteratively, quickly, and clearly Ensuring that the go-to-market team is able to understand, demo, and sell the customer pain and value proposition story from Tidelift Communicating the "why" to multiple stakeholders within and outside of the organization, and across multiple channels Prioritizing building user communication into your product delivery Meeting customer needs Proactively building user research into your product delivery Approaching product delivery scope with focus and pragmatism Enabling growth Synthesizing customer and market research into testable hypotheses, executing on these to deliver roadmap guidance

For more information and to apply, please visit this link: https://tidelift.com/about/careers/current?gh_jid=5572875003

Delta Lake

Jane Street

OpenTeams

Elastic

deepset

Sales Engineer (all genders)

Full time · Remote US

YOUR MISSION

As a Sales Engineer at deepset, you will become part of our first North American team, contributing to the growth of a new region. You will directly deliver value to customers, by collaborating with Sales and Engineering teams through pre-sales activities, aiming to transform customers’ data and satisfy their information needs.

OUR MISSION

We are an open-source startup that empowers developers to build flexible and powerful semantic search systems to query all types of data using our Haystack framework.

deepset is at the forefront of natural language processing (NLP) and we are on our way to becoming a standard for semantic search. Come join our team and work with tech experts on real-world cases, in a fast-paced and high-impact environment, and shape the NLP space together with us.

LIFE AT DEEPSET

At deepset you will find an environment with equal opportunities to grow, share ideas, build relationships, and succeed. We believe every employee is important and generates a direct impact on our team’s success.

We are certified by Flexa® Careers as a flexible employer, and our remote first culture is designed to provide work-life balance, autonomy, and flexibility.

Our daily meetings, the quarterly in person "Re.Base", and the social events allow us to work with great synergy. We would like to invite you to visit our life page to learn more about our culture.

YOUR IMPACT

-Take responsibility for the technical aspects of the deals, while working closely in collaboration and alignment with the Solution Engineering team

-Produce proposals and RFP responses, provide demos/POCs and create reusable assets to facilitate pre-sales processes

-Configure tooling for Haystack, deepset Cloud, and the Haystack annotation tool

-Demonstrate curiosity and interest about the domain of the customer, and have an understanding of the use cases and business problems

-Participate in client meetings, presentations, and marketing events on demand

YOUR PROFILE

-University degree in Computer Science or comparable qualification

-A strong relationship builder with strong communication skills, with 5+ years of the overall experience, preferably in enterprise sales working with Mid-market and Fortune 1000 Enterprise companies

-Understanding of the Machine Learning lifecycle

-Python programming skills will be considered a plus

PERKS

-Remote-first: You can choose to work from home or any other workspace that suits you. We offer a home office budget for equipment and furniture, and we would be happy to sponsor a co-working spot.

-Grow: Personal and professional growth is important to us. We offer a yearly 800 EUR budget to learn and develop new skills, and the chance to speak at conferences, and our team favorite is the monthly “Hacky Friday”.

-Connect: We have a virtual office, a monthly social budget to reconnect virtually or in person, regular walk and talks with colleagues from other teams, and a flexible travel policy that enables you to meet colleagues in-person when needed.

-Re:base: Once every few months we meet in person. We believe it's great to still see each other occasionally in real life. We have good discussions, we do workshops, we brainstorm, we have lunches together, and we have fun. We cover travel expenses for sure.

-You are an owner: We offer every employee the opportunity to be enrolled in the employee stock option plan and own a part of the company.

-Personal time off: If you want to recharge and travel the world - there are 27 days of paid holidays.

-Choose your tech: Linux, Windows, or macOS? Laptop or PC? The choice is yours and we will provide what you need.

-Health and/or pension fund fitting with your main working location: E.g. Company pension scheme for Germany, Health insurance for the US

WHAT COLLEAGUES SAY

-“As many others, I learned about deepset through the German Bert model. I`m proud to be part of a truly cutting-edge NLP company and excited to enable others to utilize our technology.” (Miriam, Applied NLP Engineer)

-"I'm passionate about early open source teams and products. As an ex-founder, I know the challenges of building OSS and I wanted to help. I'm also excited about the technology adoption for NLP and QA.” (Andrey, Head of Product Marketing) Apply for this position

ABOUT US

Our vision: We make machines understand language so that humans can achieve more. Our mission: We empower developers to make NLP part of every application in every enterprise. Visit us to learn more: Website | GitHub | Linkedin | Twitter

APPLY NOW

Click here

Taipy

HENNGE (Japan)

Senior Software Engineer (Python)

Roles

HENNGE is a leading cloud-based security provider in Japan, delivering an additional security layer to companies which move their operations to the cloud. Our service HENNGE One has over 70% market share for cloud security services targeting Microsoft 365/Google Workspace in Japan. We are growing fast and are a listed company on the Tokyo Stock Exchange.

As part of the engineering team, you will be responsible for building cloud-security solutions used by thousands of enterprise companies. Our flagship product, HENNGE One, provides functionalities ranging from access control, email filtering, online storage, and email archiving. We focus on implementing state-of-the-art security functionalities, ensuring SLA 99.9% in distributed fault-tolerant deployment, and providing the best user experience to our customers.

We’re currently looking for senior Python engineers to join our fast-paced growing team.

Responsibilities

Design, develop, and maintain innovative features based on business needs
Design scalable and fault-tolerant architecture in a distributed cloud deployment
Ensure high quality deliverables through CI/CD pipelines, tests, and documentation
Improve team synergy and mentor junior engineers
Collaborate with Design, Product Management and Customer Success teams to continuously improve the product

Our tech stack: Python 3, asyncio, NoSQL, AWS, Docker. For more details, you can also check our Stackshare page out.

Requirements

Minimum Qualifications - 3 years of experience with Python backend development - Strong background building scalable web applications in Python - Ability to mentor junior engineers and work collaboratively in a team environment - Experience with cloud infrastructure, such as AWS, GCP, or Azure - Ability to automate deployments via CI/CD pipelines - Understand the importance of clean code and software documentation - Business level English (Japanese is NOT required) - Last but not least, fit with open source and hacker culture

Nice to have - Experience building large-scale distributed systems - Deep experience with AWS - Experience with asyncio based web frameworks in Python - Knowledge of security concepts and technologies - Deep knowledge of Linux environment - Degree in Computer Science or other related technical field - Team leadership experience

Benefits

Flexible working hours
Work from home available
Insurance: Health, Employment, Industrial Injury, Welfare pension
Employee Stock Ownership Plan
Opportunities to attend international and domestic conferences
Financial support for technical certifications and technical learning programs

Reasons why you will enjoy working at HENNGE

HENNGE offers a diverse development team with people from over 10 different countries who love both technology and Japanese culture. Located in the heart of metropolitan Tokyo, HENNGE offers a non-traditional Japanese experience working in Shibuya, one of the busiest and most exciting places in the world.

Work-life balance is highly valued at HENNGE, and lots of fun happens at our office! Weekly board game nights, seasonal in-house events, monthly technical sessions, attendance of international tech conferences, new business contests, and many more.

Having our CEO acting as the CTO, we are driven to continuously explore and develop the latest technologies.

Learn more about our company culture here.

Selection Process

Solve our coding challenge
Upload your CV and Cover Letter
Casual interview with our HR
2 (or 3) interviews with our engineers
Interview with our CEO

TelemetryHub

Toyota Financial Services

Netflix

Nixtla

Generally Intelligent

Summary

Generally Intelligent is an AI research company working directly on building human-level general machine intelligence that can learn naturally in the way humans do. Our mission is to understand the fundamentals of learning and build safe, humane machine intelligence. Here are our open roles:

Infrastructure Engineer (San Francisco or Remote, Full-time) This role is about enabling and supporting those large-scale compute efforts and all of the other software infrastructure that goes into making research a pleasant, seamless experience for the rest of the team, especially as we scale to increasingly higher scale systems. One benefit of this role is that, since we have no product or customers, you will not be on-call. All of our engineers are (and will continue to be) sufficiently empowered to fix their own infrastructure issues.

Machine Learning Engineer (Remote, Full-time or Contract) As a remote machine learning engineer, you’ll work very closely with a senior member of our research team on cutting-edge deep learning research, infrastructure, and tooling toward the goal of creating general human-like machine intelligence.

Machine Learning Research Engineer (San Francisco, Full-time) In this role you’ll work with our researchers to do cutting-edge deep learning research—conducting experiments, creating infrastructure, and developing tooling & visualizations—with the goal of developing more human-like machine intelligence. Note: This research role requires being onsite in San Francisco. If you're remote, please take a look at our Machine Learning Engineer (Remote) role, which is more engineering-heavy.

Senior Software Engineer (San Francisco or Remote, Full-time) Much of the work we do at Generally Intelligent is effectively pure software engineering. Our perspective is that even machine learning research ends up being about 90% software engineering, so even without any prior machine learning knowledge, there is plenty to contribute as a normal software engineer. Even most of our machine learning research tends towards the software engineering side of the spectrum, as we prefer to automate the types of work that academic researchers typically do (ex: tuning hyperparameters, experimenting with small variations in network architectures, etc).

Systems Engineer (San Francisco or Remote, Full-time or Contract) As a systems engineer, you’ll work on pioneering machine learning infrastructure that enables running large numbers of experiments in parallel across local and cloud GPUs, extremely fast training, and guarantees that we can trust experiment results. This allows us to do actual science to understand, from first principles, how to build human-like artificial general intelligence. You’ll also play a role in open-sourcing infrastructure for the machine learning community. Note: No machine learning experience is required. This role is contract if you're remote, and full-time if you're onsite in San Francisco.

About Us

We started Generally Intelligent because we believe that software with human-level intelligence will have a transformative impact on the world. We’re dedicated to ensuring that that impact is a positive one.

We have enough funding to freely pursue our research goals over the next decade, and our backers include Y Combinator, researchers from OpenAI, Astera Institute, and a number of private individuals who care about effective altruism and scientific research.

Our research is focused on agents for digital environments (ex: browser, desktop, documents), using RL, large language models, and self supervised learning. We’re excited about opportunities to use simulated data, network architecture search, and good theoretical understanding of deep learning to make progress on these problems. We take a focused, engineering-driven approach to research.

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IMC Trading

SENIOR PYTHON DEVELOPER

WHO WE ARE AND WHAT WE DO IMC is a leading global market maker, using algorithmic trading and advanced technology to buy and sell securities on multiple trading venues worldwide. We provide liquidity to the financial markets, driving efficiencies for buyers and sellers.

Founded in 1989, we are an ambitious, innovative company and identified early on the importance technology would play in the fast-paced evolution of trading. This entrepreneurial spirit still drives us today and can be found in all of our offices around the world.

OUR TEAM We now operate globally from offices in Europe, the US and Asia Pacific. Our employees work closely together in multidisciplinary teams, making our success possible.

Technology - At IMC, technology is not a department, it is at the heart of everything we do. Our technologists push the limits of possibility, and then look beyond. In our fast-paced environment, short feedback loops mean projects worked on in the morning can enter production the next day.

Trading – Although our traders come from many backgrounds they all have one thing in common: they are at their best solving complex problems. Their insight into global events, market shifts and pricing ensure we are trading in the right place, at the right time.

Business Support - Around the world, IMC’s business support teams are essential for sustaining our success. In our dynamic environment, we have many exciting challenges and multidisciplinary opportunities to shape our operations and make a real impact.

OUR CULTURE Our employees are our greatest asset so we give them lots of responsibility and the support they need to make a difference. Our flat structure fosters a culture of openness and collaboration, encouraging the sharing of ideas and knowledge. It makes no difference if you have been with us for three days or three years, the best idea wins.

While we work hard, we also have a lot of fun; whether solving complex challenges or in team building, leisure and sporting activities. IMC also enables its employees to contribute towards a better society through our foundation.

The Data Analytics Team at IMC is looking for a Senior Python Developer to join a recently formed, fast moving team supporting a growing base of advanced analytics users. The role will include developing analysis, supporting code libraries and building out platforms to meet the rapidly evolving needs of a modern trading firm that consistently pushes technical boundaries.

Required Experience: -5+ years experience as a python developer working as an individual contributor. -Familiarity with building significant scale projects in Python from inception and design to execution, deployment and testing. -Detailed experience with Python language fundamentals, able to write both OO and functional style code. -Agile style development approach using iteration with users, gathering feedback and an ability to quickly and confidently affect changes in your code backed by a solid CI pipeline and test coverage. -DevOps style application deployment and operational experience: You should be able to stand behind your code, roll it out and ensure it meets users needs. -Experience of operating at scale on distributed systems using container orchestration methods such as docker swarm, kubernetes and cloud platforms, specifically AWS. Familiarity with distributed analysis techniques and platforms such as Dask and PySpark a major plus. -Hands on experience with the JupyterHub/JupyterLab environment as an advanced user and ideally having helped support it for multiple users. -Experience with major python analysis libraries such as pandas, numpy, scipy, scikit-learn is highly desirable, especially in relation to optimization of performance on large data analytics. -Experience using Hadoop Ecosystem tools such as HDFS, Hive, Impala, Spark et al is highly valuable given our large scale use of Hadoop. -Working knowledge of multiple types of data stores such as traditional SQL, Document Stores like Mongo, Columnar stores like Scylla and Key-Value stores such as redis will enable you to quickly assist picking the right tools for the task at hand.

OUR HIRING PROCESS To set you up for success, you can find our hiring process including tips on applying and interviewing with us on our website. Now it’s up to you! Apply today to start an amazing journey with IMC.

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