The Role:

Podium is looking for a talented Senior Software Engineer with expertise/interest in building agentic applications using large language models (LLMs). In this role, you will be joining a team of smart and dedicated engineers tasked with empowering local businesses by creating AI agents that efficiently handle customer interactions to optimize operations and reclaim valuable time. If you are passionate about tackling complex challenges, thrive in a fast-paced, iterative environment, and have a knack for breaking down intricate problems, we think you’ll be a great fit.

What you will be doing:

• Develop and deploy advanced agentic applications powered by large language models to help local businesses automate interactions and manage leads.
• Drive the entire lifecycle of AI agent development, from conception and design to implementation and maintenance.
• Engage in rapid prototyping and iterative development to refine AI solutions based on real-world performance and feedback.
• Implement monitoring and evaluation systems to track the effectiveness of AI agents in production, ensuring high reliability and user satisfaction.
• Contribute to a culture of innovation by staying current with industry trends in generative AI and applying cutting-edge research to practical business solutions.

What you should have:

• 8+ years of hands-on programming experience with at least one modern language such as Python, Go, or Elixir.
• Strong analytical and problem-solving skills, with a proven ability to decompose complex issues and drive innovation in a highly iterative development process.
• Excellent communication skills and the ability to work effectively in a team setting, as well as to articulate technical concepts to diverse audiences.
• Ability to solve ambiguous problems and thrive in a fast-paced environment.

What we hope you have:

• 8+ years of experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools.
• Hand-on experience training, fine tuning, and/or deploying LLM applications in production environments.
• Proficiency in Python, with a track record of developing AI-driven applications using this language.
• Exceptional writing abilities with the capacity to craft and optimize prompts for generative AI models.
• Experience with deploying, monitoring, debugging, and evaluating AI agents in production environments is a huge bonus.
• Knowledge of machine learning operations (MLOps) practices.

BENEFITS

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with company matching
• Bi-annual swag drops with cool Podium gear and apparel 
• A stellar HQ (Utah) gym with local professional coaches and classes offered
• Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 40 million people and 50,000 organizations.From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Director of Engineering, Growth Platform to join our Growth Engineering organization. This role will lead the engineering team that designs, builds, and maintains scalable growth platforms to drive user acquisition, engagement, retention, and monetization. This role combines strategic leadership with hands-on technical expertise to ensure the success of growth initiatives through data-driven platforms, ML, AI, and tools that enable seamless experimentation, personalization, and automation at scale.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As an engineering leader of the Growth platform team, your key responsibilities include:

• Leadership and strategy to define and execute the technical strategy.
• Platform development and optimization to oversee the design, development, and deployment of scalable platforms using ML, AI, and data-driven solutions.
• Collaboration and stakeholder management across multiple teams, functions, and leadership.
• Technical execution with cutting-edge technologies using machine learning, artificial intelligence, Data platforms, and large-scale distributed systems.
• In your first 30 days, you should be able to successfully complete your orientation, learn, integrate with the team effectively, evaluate the current state, and deliver some quick wins.
• In your first 60 days, you should be able to develop a roadmap, optimize the team, get involved in technical contributions, collaborate with stakeholders, and be deeply involved in current systems.
• In your first 90 days, you should be able to execute the roadmap, establish metrics and technical excellence, foster team growth, create cross-functional impact, and lead strategic planning.

Qualifications

• 10+ years of experience in software engineering or ML engineering, with at least 5 years in a leadership role.
• Proven track record of leading and managing engineering teams to deliver high-impact projects.
• Strong organizational and problem-solving skills with an ability to prioritize and manage multiple initiatives simultaneously.
• Extensive experience in software engineering and ML engineering, focusing on growth, experimentation platforms, and scalable back-end systems.
• Familiarity with A/B testing frameworks, growth loops, and personalization engines.
• Proven track record of leading and managing engineering teams to deliver high-impact projects.
• Strong organizational and problem-solving skills with an ability to prioritize and manage multiple initiatives simultaneously.
• Previous experience in growth-focused roles or working with growth platforms is highly desirable.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. 

Zone 1: $324,000 - $446,000/year (USD)

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

#LI-PM1

Want to learn more about what it's like to work at Handshake?Check out these interviews from our team members!

Your impact

At Handshake, we are building a team of engineers dedicated to creating impactful, high-quality products. As a Staff Data Architect, you will drive the architectural vision, strategic direction, and evolution of our advanced data platform. Your leadership and expertise will directly influence how millions of students discover meaningful career opportunities, breaking down barriers related to education, network, and resources.

Our core objective is to build robust pathways on top of our base data platform that enables cross-functional teams to create data-driven features while ensuring accurate, timely, and secure data access across the organization. Your role will be central to realizing this vision by establishing resilient, scalable data architecture pathways that guide the company in making data-informed decisions.

Your role

In this role, you will be responsible for:

• Technical Leadership and Strategy: Leading the data engineering function at an architectural level. Defining best practices and setting long-term vision for the data ecosystem. You will mentor, guide, and collaborate with the data and product engineering teams, helping to elevate their technical capabilities while fostering a culture of continuous improvement.
• Data Architecture and Solution Design: Architecting scalable, reliable, and efficient data pipelines, services, and products that meet diverse business needs. Building on the foundations we have built, and leveraging deep knowledge of emerging technologies, you’ll make strategic recommendations and implement systems aligned with industry best practices to ensure the scalability, security, and resilience of our data platform.
• Cross-functional Collaboration: Partnering with product managers, engineering leads, and other stakeholders to define data architecture requirements that align with business goals. You will ensure data solutions are well-integrated into the broader technology landscape and drive the development of innovative, data-driven features.
• Performance and Optimization: Leading efforts to identify and resolve performance bottlenecks, ensuring data processing systems are highly optimized for both performance and cost-effectiveness.
• Data Quality, Governance, and Compliance: Establishing and implementing data governance frameworks to ensure data reliability, security, and regulatory compliance. You will lead initiatives to monitor, enforce, and enhance data quality across the platform, and help build out a strategy that solves data access across all facets of our organization

Your experience

To excel in this role, you should possess:

• Deep Data Engineering and Architecture Expertise: Extensive experience in architecting and implementing complex, large-scale data platforms, including data warehousing solutions and scalable data services. Mastery of data engineering tools, technologies, and best practices, with a demonstrated ability to design end-to-end data ecosystems.
• Cloud Platform Proficiency: Significant hands-on experience with cloud-based data technologies, preferably within Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and related tools.
• Strategic Problem-solving Skills: Strong analytical abilities and a track record of tackling complex data challenges with innovative, strategic solutions that enhance the efficiency, reliability, and scalability of data platforms.
• Influential Collaboration: An ability to engage and influence both technical and non-technical stakeholders through clear communication and a team-oriented approach, ensuring alignment across departments.
• Strong Programming and Data Modeling Skills: Proficiency in Python and SQL, with a strong understanding of data modeling principles and the ability to implement complex transformations in support of analytics and business intelligence needs.

Bonus areas of expertise

Experience in any of the following areas would be advantageous:

• Advanced Technologies: Proficiency with Go programming language, dbt for data transformations, containerization (Docker), and orchestration (Kubernetes).
• Data Analytics Solutions: Designing and implementing analytic solutions for both internal and external customers of the data platform, working across departments to drive large initiatives forward
• Machine Learning Collaboration: Experience with machine learning teams, interfacing and facilitating infrastructure and pipelines to accelerate our ML efforts

Compensation range

$235,000 - $260,000

Job Title : Staff Software Engineer 

About Us

Acquia is an open digital experience company. We provide the world's most ambitious brands with technology that allows them to embrace innovation and create customer moments that matter. At Acquia we believe in the power of community and collaboration - giving our customers the freedom to build tomorrow on their terms.

Headquartered in Boston, we have been named as one of North America’s fastest growing software companies as reported by Deloitte and Inc. Magazine, and have been rated a leader by the analyst community and named one of the Best Places to Work by the Boston Business Journal. We are Acquia. We are building for the future of the web, and we want you to be a part of it.

Role Overview

Acquia is seeking a Staff Software Engineer to join our AI Services team focused on building Application and APIs around AI which can be leveraged by other teams and Acquia Productto enhance the value of the overall digital experience platform (DXP). We thrive on innovation, collaboration, and an agile mindset and processes. An ability to quickly prototype, learn, and iterate on concepts is critical for this role.

The AI Services team is part of Foundation Services group and builds product offerings on top of Foundation Infrastructureservices.

Key Responsibilities

• Work with Product, Engineering and Architecture teams to gather requirements and identify opportunities to add value by extending existing AI services or building new ones.
• Draft RFCs and propose solution design. Lead discussions with other stakeholders to get reviews, reach a consensus and approvals. 
• Break complex problems in smaller manageable units. Contribute in coding, PR reviews, documentation, and automated tests that deliver on Sprint goals.
• Ensure compliance requirements, CICD, coding, operations, security best practices are followed.
• Participate in experimentation and prototype building in a collaborative environment, iterating on concepts based on feedback
• Contribute as needed to the core architectural platform and libraries used by all teams in the interest of the stability, robustness, cost effectiveness, and performance of consuming applications and services.
• Work with Engineering leadership to design and document a technical vision for the team that will produce stable, competitive products in the marketplace.
• Encourage a culture of observability by ensuring logging and monitoring of applications and services is being configured appropriately to provide visibility into system performance consistent with SLIs/SLOs/SLAs and enable effective troubleshooting
• Address security vulnerabilities as needed
• Work with your team to understand and implement R&D Standards.

Mentor and train other team members on important technical topics through team meetings, pair programming, lunch 'n learns, etc. as needed.

• Collaborate with the architecture team to ensure the platform we are building is consistent with the overarching architectural goals at Acquia
• Ensure software systems comply with contractual RTO and RPO requirements

Preferred Qualifications

You will be successful if you:

• Are a continuous learner who is able learn through online trainings, books and podcasts as the AI landscape is rapidly evolving
• Are comfortable with ambiguity and working in a fast-paced environment 
• Balance critical thinking with creative problem-solving 
• Make informed decisions, balancing quantitative and qualitative reasoning
• Have the ability to drive desired customer outcomes by learning and understanding the problems being solved.

Requirements

• 8+ years of relevant experience
• Experience working with Python, Java, Vector database and SQL
• Base knowledge of machine learning: non-generative ML models, LLMs and data embeddings
• Experience writing and consuming REST APIs

Experience managing applications in a kubernetes environment

• Experience with Git

Experience working with any cloud platform AWS/ Azure/ GCP

• Experience working with CI/CD tools (i.e. Jenkins)
• Experience writing automated test
• Ability to learn and adapt to new technologies quickly and become productive in their use
• Working knowledge of software design principles and programming languages and frameworks in use
• Strong knowledge of software development security principles, concepts and best practices
• Strong understanding of software architecture and the tradeoffs between different architectural patterns
  
  

Nice to have…

• Experience working with Snowflake
• Experience writing SaaS applications in a distributed microservice ecosystem
• Experience working with Elasticsearch or other NoSQL data stores
• Experience with PHP and Drupal
• Experience working with Gradle 
• Nice to have experience in RAG (Retrieval-Augmented Generation)

Personal Attributes

• Excellent communication skills and the ability to work collaboratively in a team environment.
• Strong attention to detail and a commitment to quality.
• Ability to manage multiple tasks efficiently and quickly adapt to new technologies.
• A passion for continuous learning and personal growth, especially through online training, books, and podcasts, to keep pace with the rapidly evolving AI landscape.
• Comfortable with ambiguity and capable of thriving in a fast-paced environment.
• Balance critical thinking with creative problem-solving and make informed decisions using both quantitative and qualitative reasoning.

Why Acquia Support?

A genuinely fun place to work. We're a tight-knit team with a lot of energy and opportunities to work collaboratively with others, both in Support and across Acquia to improve our offerings and customer experiences.We're not a call center. Acquia is looking for engineers, not someone to just answer the phone. We provide opportunities to constantly learn and grow your technical skills while solving sophisticated challenges involving cloud technology.When we say work/life balance, we mean it. Paid quarterly on-call, and a liberal vacation policy mean a role where you can have a life, not just a job you can live with.

Acquia is proud to provide best-in-class benefits to help our employees and their families maintain a healthy body and mind. Core Benefits include: competitive healthcare coverage, wellness programs, take it when you need it time off, parental leave, recognition programs, and much more!
Individuals seeking employment at Acquia are considered without regard to race, color, religion, caste, creed, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Whatever you answer will not be considered in the hiring process or thereafter.

As Associate Systems Engineer, you’ll support the Models as a Service the CS Engineering and Project team in the execution of AI Models and Machine Learning Services within the Advana Enterprise Platform.  The engineer implements the technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models.  The engineer also supports training and deployment of models including specific metadata.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Support the Models as a Service the CS Engineering and Project team in the execution of AI Models and Machine Learning Services within the Advana Enterprise Platform.
• Implement the technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models
• Support training and deployment of models including the specific metadata.

What you’ll need to succeed:

• An active U.S. Government issued Secret security clearance (or higher).
• 1+ years of systems engineering experience
• Ability to contribute to the development and integration of enterprise machine learning services.
• Ability to assist in the development of solutions that include data pipelines, model architecture, model design, training, evaluation, tuning, deployment, and integration.

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

Not ready to apply now?

Sign up to join our newsletter here.

As Sr. Systems Engineer, you’ll support the Models as a Service project team in the planning and execution of AI Models and Machine Learning Services within the Advana Enterprise Platform.  The engineer leads technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models.  The engineer also supports training and deployment of models including specific metadata.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Support the Models as a Service project team in the planning and execution of AI Models and Machine Learning Services within the Advana Enterprise Platform.
• Lead technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models.
• Support training and deployment of models including specific metadata.

What you’ll need to succeed:

• An active U.S. Government issued Secret security clearance (or higher).
• 3+ years of computer systems engineering experience
• Proven ability to define and support long-term, enterprise-level technology strategies.
• Proven ability to handle daily IT operation and oversight of risk management, deliverables, and resources, including current hardware and networks available.
• Proven ability to develop technology solutions for large scale enterprise applications.
• Proven ability to support the design, development, and integration of enterprise machine learning services.
• Proven ability to develop solutions that will include data pipelines, model architecture, model design, training, evaluation, tuning, deployment, and integration.

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

Not ready to apply now?

Sign up to join our newsletter here.

As Associate Systems Engineer, you’ll support the Models as a Service project team in the planning and execution of AI Models and Machine Learning Services within the Advana Enterprise Platform.  The engineer supports technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models.  The engineer also supports training and deployment of models including specific metadata.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Plan and execute AI Models and Machine Learning Services within the Advana Enterprise Platform.
• Support technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models.
• Support training and deployment of models including the specific metadata.

What you’ll need to succeed:

• An active U.S. Government issued Secret security clearance (or higher).
• 1+ years of systems engineering and architecture experience
• Proven ability to supports the design, development, and integration of enterprise machine learning services.
• Proven ability to develop solutions that include data pipelines, model architecture, model design, training, evaluation, tuning, deployment, and integration.

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

Not ready to apply now?

Sign up to join our newsletter here.

Overview

About the Role

This role offers the opportunity to put technical expertise and leadership skills towards driving high impact in programs that enhance our products, platforms, and the experiences of millions of customers, shoppers, retailers, advertisers, and the broader developer community. As a (Senior) Staff Technical Program Manager at Instacart, you will be at the forefront of our mission to transform the industries across grocery, retail, and restaurants by delivering on Instacart’s most complex and impactful efforts. You will be the owner of programs and associated business and technical outcomes, working closely with cross-functional teams across Engineering, Product, Data Science, Product Design, Business Development, Marketing, and others to define success, the strategy, requirements, track key metrics, lead execution, mitigate risks, and deliver on time with high quality outcomes. We are looking for driven individuals who thrive in a fast-paced Engineering environment, are passionate about quality and team performance, and feel comfortable making decisions on scope and technical trade-offs as well as building executive-level narratives. You will be required to operate independently, identify issues and opportunities proactively, lead from the front and by example, and be seen as a leader by senior leadership as well as various cross-functional teams across the broader organization.

Every day we solve increasingly complex business and technical problems that involve deep thinking and cross-functional collaboration to tackle. You will drive towards outcomes that have incredibly high impact across each of our 4-sided marketplaces: customers, shoppers, brands, and retailer partners. You will set the bar for what it means to deliver first-class, high quality experiences for our customers. Join us in this opportunity to lead a digital transformation of the industry by building technology that’ll power the next wave of innovative, scalable, and robust experiences to our customers.

About the Team

The Technical Program Management team is an integral part of the Instacart R&D organization. TPM operates within Engineering but drives priorities independently, so we align ourselves with the company’s highest priorities, biggest tech and product challenges, and our role strengths. Our team tackles some of the meatiest problems as we lead Instacart’s products, platforms, and operational excellence forward. Our work and its impact spans all sides of the marketplace: from using advanced ML to offer highly personalized replacements for out of stock items, to helping people save money through coupons and deals for their favorite brands, to unlocking innovative ways to shop for and deliver groceries, to evolving our ML tech stack and data infra, and so much more. We are seen as trusted thought partners to deliver on Instacart’s strategy at scale and enable strong cross-team and functional collaboration that results in teams across the company to achieve more together.

About the Job 

• You are seen as a leader within the Instacart consumer space, and seen as a trusted thought partner to organizational and cross-functional leaders.
• You “see around corners”, inform priorities, and are sought after to undertake the most challenging, unscoped problems.
• You lead the strategy, planning, roadmap, and technical execution of XL-sized programs with a high degree of uncertainty, ambiguity, complexity, and visibility.
• You are a natural key partner and influencer with Engineers, Product Managers, Product Designers, Data Scientists and other cross-functional partners to define outcomes, key results, and path to deliver. You define and deliver on requirements and execution plans, and manage an overall program's progress and outcome.
• You own clear and effective communication with stakeholders, including senior leadership, while raising priorities, risks, and course changes independently and proactively. You have shown you can influence decisions by senior leaders.
• You create a win-win by growing the pie. You foster a culture of teamwork and shared goals, create a collaborative and motivating team environment, and drive the right balance of process and velocity to ensure efficient, high quality, yet timely delivery.
• You are not only seen as a clear leader within TPM, but you regularly contribute more broadly to Instacart’s success by suggesting and driving organization-wide initiatives as well as mentoring and coaching others around you.

About You

Minimum Qualifications

• 10+ years of post-graduation experience in a technology field, preferably as a technical program manager, product manager, software engineer or engineering manager (technical domain), or related technical discipline.
• Experience in defining, delivering, derisking, and clearly exhibiting a combination of product and engineering prowess. You can clearly demonstrate how you are an angle-changer to outcomes.
• Can wear multiple hats to create strategy memos, write functional specs, define high level technical requirements, derive insights from structured data, and leverage LLMs as a productivity multiplier in addition to defining program structure & strategy.
• Experience in managing complex, ambiguous, multi-org programs end-to-end, from early conceptualization and definition to launch, throughout a software development lifecycle.
• A strong communicator, collaborator, and natural storyteller. You can distill multiple streams of information, convey priorities and risks, and build a strong narrative for stakeholders. 
• Bring executive presence with senior leaders. You are comfortable writing detailed plans as well as upleveling to an executive-level deck.
• Show strong ownership, accountability, and intellectual curiosity to understand executional and technical problems in depth, identify potential issues, and proactively incorporate mitigations into a realistic plan.
• Exhibits a growth mindset, can give and receive ongoing feedback, and can swiftly adapt to operating norms across diversity of teams.
• Bachelor's degree or greater in a technology or engineering discipline.

Preferred Qualifications

• Master’s degree in a technology or engineering discipline.
• Demonstrated ability to manage a cross-functional team of technical professionals.
• Shown ability to advocate and land architectural and technical decisions at the highest engineering leadership levels.

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Team:

At SecurityScorecard, the Data Science organization builds AI and ML products that empower our customers to manage cybersecurity risk. We leverage massive datasets sourced by our internal Threat Intelligence teams to create the core rating models that our customers use for assessing third-party risk and self-assessment. We also build LLM-powered systems for automating and accelerating cybersecurity risk assessment workflows.

About the Role:

As an ML Engineer, you will design and optimize machine learning algorithms, build scalable data pipelines, and deploy reliable models into production environments. You'll collaborate with cross-functional teams to integrate ML solutions into products, conduct research to stay ahead of emerging technologies, and ensure models perform optimally through ongoing monitoring and refinement. Your work will directly enhance cybersecurity resilience for organizations worldwide, making the world a safer place. If you’re passionate about solving complex problems and creating impactful solutions, this role offers the opportunity to make a significant impact while working in a dynamic, collaborative environment.

Responsibilities:

• Model Development: Design, train, and optimize machine learning models and algorithms. 
• Data Pipeline Creation: Build and maintain scalable data pipelines to preprocess, clean, and transform raw data for analysis and model training.
• Model Deployment: Implement and manage models in production environments, ensuring scalability, reliability, and performance.
• Research and Experimentation: Stay updated on the latest machine learning techniques, tools, and frameworks to enhance model accuracy and efficiency.
• Collaboration: Work closely with data scientists, software engineers, and product teams to understand requirements and integrate ML solutions into products.
• Performance Monitoring: Continuously monitor, evaluate, and fine-tune models post-deployment to maintain accuracy and robustness.
• Documentation:Create clear and concise documentation for models, processes, and systems to support team collaboration and knowledge sharing.

Required Qualifications:

• 3+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science or related discipline.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL.
• Solid understanding of algorithms, statistics, and data structures.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Knowledge of CI/CD pipelines and version control systems (e.g. Git).
• Familiarity with Linux/Unix command line tools.

Preferred Qualifications:

• PhD degree in Computer Science, Engineering, Mathematics, Physics or a related field.
• Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $80,000 - $95,000 (USD base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Team:

At SecurityScorecard, the Data Science organization builds AI and ML products that empower our customers to manage cybersecurity risk. We leverage massive datasets sourced by our internal Threat Intelligence teams to create the core rating models that our customers use for assessing third-party risk and self-assessment. We also build LLM-powered systems for automating and accelerating cybersecurity risk assessment workflows.

About the Role:

As a Senior ML Engineer, you will be a technical leader within the Data Science organization, sharing your experience and setting best practices. You will design and implement ML algorithms, build scalable data pipelines, and deploy reliable models into production environments. You'll collaborate with cross-functional teams to integrate ML solutions into products, conduct research to stay ahead of emerging technologies, and ensure models perform optimally through ongoing monitoring and refinement. Your work will directly enhance cybersecurity resilience for organizations worldwide, making the world a safer place. If you’re passionate about solving complex problems and creating impactful solutions, this role offers the opportunity to make a significant impact while working in a dynamic, collaborative environment.

Responsibilities:

• Technical Leadership: Establish best practices and share expertise through mentorship.
• Model Development: Design, train, and optimize machine learning models and algorithms. 
• Data Pipeline Creation: Build and maintain scalable data pipelines to preprocess, clean, and transform raw data for analysis and model training.
• Model Deployment: Implement and manage models in production environments, ensuring scalability, reliability, and performance.
• Research and Experimentation: Stay updated on the latest machine learning techniques, tools, and frameworks to enhance model accuracy and efficiency.
• Collaboration: Work closely with data scientists, software engineers, and product teams to understand requirements and integrate ML solutions into products.
• Performance Monitoring: Continuously monitor, evaluate, and fine-tune models post-deployment to maintain accuracy and robustness.
• Documentation:Create clear and concise documentation for models, processes, and systems to support team collaboration and knowledge sharing.

Required Qualifications:

• 5+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science or related discipline.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL.
• Solid understanding of algorithms, statistics, and data structures.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Knowledge of CI/CD pipelines and version control systems (e.g. Git).
• Familiarity with Linux/Unix command line tools.

Preferred Qualifications:

• PhD degree in Computer Science, Engineering, Mathematics, Physics or a related field.
• Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $100,000 - $120,000 (USD base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

The Role

We’re looking for an AI Product Engineer to join our small but nimble AI team. Your mission is to deploy responsible AI within the Modern Health ecosystem. As an AI Product Engineer, you will work on developing and implementing AI-powered products, incorporating LLMs, embeddings, and other ML/AI technologies into Modern Health’s experiences.

This position is not eligible to be performed in Hawaii.

What You’ll Do

• Provide technical leadership on a new team prototyping and experimenting with new AI features
• Productionize and ship AI integrations into Modern Health’s core product
• Collaborate with cross-functional teams to deliver product features on time
• Stay up-to-date with the latest AI technologies and trends

Who You Are

• 8+ years experience building and prototyping: You have experience building products from the ground up with a solid grasp of the full stack from user experience to data models. You are familiar with RDS (ideally Postgres)
• Problem-solving: You understand first principles thinking and approach problems starting with a clear understanding of context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity, keeping in mind the business impact of what you’re building
• Empathetic communication and collaboration: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. You can empathize with other points of view and consider another person’s angle, especially when it disagrees with your own. You collaborate well not only with other engineers but with all cross-functional partners. You are a lifelong learner and invest your own growth and the growth, learning, and development of your teammates.
• Impact-focused: You care about business impact and prioritize your work accordingly. You understand the balance between craft, speed, and the bottom line. Your impact extends beyond the code; you mentor other engineers, have taken lead on large projects, and are thinking beyond immediate deliverables to set teams up for long-term success.
• Shipping quality user interfaces: You have partnered closely with product and design to craft beautiful user experiences for large audiences, ideally with React/React Native.

Bonus Points

• GenAI production experience (building with LLMs, inference, embeddings, etc.)
• ML experience (data engineering, model development, MLOps, etc.)
• You're proficient with any part of our technology stack: Python/Django, React/React Native/TypeScript, Docker, Postgres, AWS
• You have experience driving teams toward shared goals and can balance business priorities with individuals’ strengths, areas of interest, and career development goals
• Experience in a high growth SaaS and/or Health Tech startup environment

Benefits

Fundamentals:

• Medical / Dental / Vision / Disability / Life Insurance 
• High Deductible Health Plan with Health Savings Account (HSA) option
• Flexible Spending Account (FSA)
• Access to coaches and therapists through Modern Health's platform
• Generous Time Off 
• Company-wide Collective Pause Days 

Family Support:

• Parental Leave Policy 
• Family Forming Benefit through Carrot
• Family Assistance Benefit through UrbanSitter

Professional Development:

• Professional Development Stipend

Financial Wellness:

• 401k
• Financial Planning Benefit through Origin

But wait there’s more…! 

• Annual Wellness Stipend to use on items that promote your overall well being 
• New Hire Stipend to help cover work-from-home setup costs
• ModSquad Community: Virtual events like active ERGs, holiday themed activities, team-building events and more
• Monthly Cell Phone Reimbursement