Boston Tech Jobs and Startup Jobs

You have an analytical mind and a passion for the craft of software engineering. Technologies come and go, but that excites you because of the endless possibilities it creates. You want to successfully drive definition, architecture, and timely delivery of software in an Agile environment. You’re excited by Data Analysis, Systems Management, Cloud Computing, and the customer experience in everything you construct. You’re looking for a collaborative environment whose teams care about the product they are creating, how they create it, and the impact it has on customers’ business objectives.

Work hard and have fun building a customer-facing SaaS product for our customers. Work on a dynamic agile development team alongside other strong full-stack engineers. Solve complex problems using modern technologies by building APIs, user interfaces, microservices, and service-oriented architectures. Learn and share new technologies and best practices with other experienced engineers.

We are looking for the Strategy Analyst to join the Toast Payments Strategy team with a specific focus on Toast Payments enablement. S/he will focus on Toast Payments enablement in partnership with Sales, Sales Enablement, Product Marketing, and Product Teams. S/he will develop a data-driven approach to execute Payments enablement strategy from planning and development, implementation to measurement and ongoing iteration.

Work closely with the development team to build an expert understanding of the architecture and operation of our platform to fully validate our security model and protections. Manage external compliance audits. Investigate and respond to third-party vulnerability reports. Provide support for internal security-related projects to facilitate best practices across the company. Proactively recommend practical software and operational security improvements. Facilitate any software or operational modifications needed as a result of security audits or vulnerability reports.

The Sr QA Engineer plays an important part in our company’s product development process. Our ideal candidate will have experience with automated testing practices and processes and be motivated to continuous improvement of our current QA environment. The candidate will be responsible for designing, developing, and conducting tests and automation test procedures prior to product launches to ensure software quality, while being cost-effective.

You are part data junky, part change agent, and wholly curious. You’re obsessed with creating processes, the reporting to track it, and know enough about building the piping to make it all happen to be dangerous. You’re a self-starter who’s willing to go deep and navigate through ambiguity. People are constantly impressed with your ability to work with complex data sets and communicate actionable findings. In this role, you’ll support the

We are searching for an exceptional engineering leader to help scale our engineering team and technology. Qualified candidates will be equally comfortable with technical leadership, people management, recruiting top talent, and hands-on development work. Our teams work on a variety of technically challenging problems in platform and API design, mobile and web application development, and much more.

As a Machine Learning Engineer, you will be responsible for tackling a wide range of problems from natural language processing to timeseries prediction. You will move beyond the theoretical confines of academia and apply your tradecraft to build machine learning systems on real world data. In this role you will constantly collaborate and work with groups of engineers. Our machine learning team is responsible for delivering ML-based solutions from problem framing, to prototyping, to production application. 

The Self-Service Learning Strategy Lead will serve as a key player within the Customer Experience / Self-Services Strategy and Delivery domain, building a world class self-service learning experiences for DataRobot customers and those looking to expand their horizons into machine learning and artificial intelligence.

PI is looking for a high-energy, entrepreneurial, take-charge Data Science Manager to help us innovate our behavioral science, build intelligent products, and ultimately make data science a core strength of our business. In this role, you will be to work hand-in-hand with PI’s Science, Product, and Engineering teams to revolutionize how we build an advanced talent optimization platform. This will include helping define our overall data strategy, creating predictive models, developing recommendation systems, and applying NLP to make sense of our data. As a member of PI’s Science Team, the new hire will be part of a multidisciplinary team of experts who focus on people analytics, psychometrics, and the workforce sciences. The best fit is more than strong data science skills. It is someone who has a genuine passion for the science of talent optimization and wants to build expertise in areas such as human behavior and personality in the workplace, industrial & organizational psychology, the employee experience, team performance, and more. The ideal candidate will have the right balance of technical skills, leadership ability, creative spirit, and energy. Success will be about taking action and making things happen. We hope to hear from you soon!

The Business Analyst will be responsible for working with the business stakeholders to construct and gather requirements for business systems projects, lead medium to large enhancement projects from inception through delivery, and mentor associate business analysts as the team grows on best practice discovery methodologies.

Develop, document, automate, and monitor metrics and reports, in close collaboration with business stakeholders. Analyze data to support decision making across the organization and for end customers, influencing decisions at all levels of the organization. Define data models for our wealth of information that can serve as a central source of truth for reporting and analysis, and build ETLs to populate them. Formulate, communicate, and execute organization-wide data quality improvement plans. Identify, implement, and drive adoption of analytics-based solutions to business problems. Innovate new ways analysis of data can be used to support the organization and its mission.

We are looking for an Underwriting Analyst to join our high-performing Boston based team. The Underwriting Analyst reviews small and medium sized businesses to determine their creditworthiness. The Underwriting Analyst is also responsible for determining the approval amount for working capital financing.

Lead teams of data scientists to solve complex agricultural problems by unifying high throughput laboratory data with mass field data with machine learning models to deliver on business scientific priorities. Perform end-to-end analysis from development of data specification requirements through data processing and normalization and statistical/probabilistic modeling to machine learning on an ongoing basis. Determine causal effects of Indigo’s microbial and agronomic treatments in real world conditions to further our understanding of where, why, and how our products work. Build machine learning models that predict business and scientifically relevant field outcomes and simultaneously increase our understanding of real-world agricultural data and the drivers of the outcomes we observe. Help to drive research and development by designing and developing visuals of data analyses and presenting these as compelling storyboards to non-technical audiences.

Our ideal candidate has extensive experience establishing and executing complex, cross-functional enterprise programs. Data, analytics and algorithmic decision making are at the core of MassMutual’s digital evolution. In this role you will be responsible for an enterprise program that holistically addresses data governance. This leader will partner with other leaders and individuals across the organization to define policy and implement processes and systems that enable the collection, storage, organization, and dissemination of meta-data and metrics associated with the firm’s information assets.

Senior Software Engineer, Full Stack Waltham, MA When finance professionals need to do big deals beyond business boundaries, Intralinks is their platform of choice for content distribution and collaboration. We help power financial markets. When Whole Foods was acquired by Amazon, they turned to Intralinks to provide their due diligence virtual data room. When Ares Management LLC grew their investor base and raised more than $65B of capital they

When finance professionals need to do big deals beyond business boundaries, Intralinks is their platform of choice for content distribution and collaboration. We help power financial markets. When Whole Foods was acquired by Amazon, they turned to Intralinks to provide their due diligence virtual data room. When Ares Management LLC grew their investor base and raised more than $65B of capital they chose Intralinks to support their capital

DraftKings is growing quickly and we’re looking for a Lead Data Engineer to help establish and lead a data team centered around the mission of providing a best-in-class experience for our products and customers. This position requires strong technical skills and a bias toward collaboration. You will be working across teams, informing business decisions, and helping to expand our software platform.

As an Insight Analyst, you will be part of a team, championing the use of data within our organization, and ensuring that insight is driven with a clear strategy aligned to our business outcomes and growing operations. You will also be joining a much broader, award winning international data team that are doing some really exciting things with the latest Big Data and analytics technologies.

Initiating, managing, and successfully executing new, cross-functional initiatives that increase alignment and create synergies across Flywire. Identifying and assessing the viability of new business opportunities, strategic initiatives, and revenue optimization. Working across functions to improve efficiency, productivity, and performance. Drive alignment on priorities across key business functions (e.g. sales & marketing, product, finance, payment operations) through our strategic planning and OKR cycles. Monitor our external environment (e.g., market conditions, competitive pressures, regulatory landscape) and derive implications for the business.