The Security Product Management team is vital in safeguarding customer trust and making data security a market differentiator that enables MongoDB to succeed in enterprise and regulated industries. Our team's scope is broad and critical, covering a range of features, including Networking, IAM, Data Governance, Encryption, Compliance, and Auditing.

This role can be based out of our Toronto office or remotely in North America.

Responsibilities

• In this role, you will be a key member of security product management making data security a market differentiator that enables MongoDB to succeed in enterprise and regulated industries
• Build a vision for best-in-class data security features such as Resource Policies, Secure by Default at MongoDB, and other security and privacy features that minimize exposure to unauthorized access and risk of data loss. 
• Partner with engineering to develop a prioritized product roadmap and backlog to execute against that vision.
• Deeply understand all aspects of the business - to ensure a business outcome aligned with our broader product, customer, and company goals
• Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry
• ​​Partner with engineering, legal, research, product marketing, support, sales, and security teams to deepen customer trust as they use MongoDB for their most critical data workloads
• Define and implement key performance indicators (KPIs) and success metrics for security initiatives, ensuring alignment with business objectives and product goals

Requirements

• 5+ years of product management or equivalent experience in enterprise security or platforms
• Experience working with security focused engineers in a diverse team
• Domain expertise in data security
• Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
• Excellent written and verbal communication skills, including experience presenting to executive leadership
• Proven ability to define and deliver successful product strategies and roadmaps
• Demonstrated experience in defining technical product requirements into an actionable product roadmap
• Understanding of various public cloud providers such as AWS, Azure, and GCP
• Comfortable with stage presence and public speaking
• B.Sc. in Computer Science, or equivalent experience

Nice to have

• Certifications or similar evidence of professional milestone completion and continuous training (such as: CISSP, CompTia Security+, SANS, etc.)
• Community support and participation to advance data and cloud security such as conference or meetup panels and blog or paper authorship
• MBA, M.Sc.+ or equivalent in relevant domain

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263343037

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 425547

The Interview Overview:

Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

1. 30 min - Phone call with a member of our Talent Team
2. 75 min - Zoom interview with the Hiring Manager
3. Skills Evaluation - Take-home Assignment
4. 75 hr - Technical Interview with Team
5. 30 min - Executive Interview

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Product Manager - Computer Vision & Data Products (Canada, Remote)

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of identifying and managing risk continue to provide an incomplete solution to these threats.

ZestyAI uses novel data gathering and machine learning approaches to produce higher quality information about the risks to property from catastrophes like severe convective storms and wildfires. While AI alone may not be able to thwart these disasters, it can help communities around the world become more prepared for them, and ultimately that will lead to better outcomes for business and society.

As a Product Manager - Computer Vision and Data Products, you are an analytical thinker and passionate about working with complex data. You are a pacesetter who wants to deliver innovative products; you are organized, self-directed, committed to innovation, and possess outstanding EQ and communication skills. You will be crucial in operating the ZestyAI platform and delivering property characteristics and risk information to our clients. You thrive in a collaborative and creative environment that moves fast and are comfortable learning new skills, leveraging the latest AI tools, and working with unfamiliar technologies.

The Opportunity:

• Own the product and feature development lifecycle from inception to launch in the field of machine learning, large language models, and computer vision
• Build the analytics and model development roadmap of data and risk solutions by researching and analyzing various sources of information
• Discover and translate data into tractable data science questions and engineering specifications to guide strategic decision making
• Work closely with data scientists and software engineers as a key member of the product development team
• Act as the model owner and subject matter expert when interfacing with Regulators and Customers
• Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with
• Work with our customers to understand complex workflows and pain points and find solutions to the problems

What You Bring to the ZestyAI Team:

• 3-6 years of work experience in analytics, data science, financial modeling, risk modeling, climate modeling or other relevant field

○  Including 1-2 years of Product Management experience, working with data products or model-based features such as actuarial risk model, climate risk model, credit risk model, search model, etc.

• Bachelor's or Master's in a quantitative field such as Engineering, Sciences, Commerce
• Outstanding communication skills, well-versed in building executive-style presentations
• Ability to manage multiple/competing priorities and deliver on time
• Comfortable leveraging AI tools to automate and accelerate everyday work (i.e. Claude Cowork)
• Proficient in SQL, Excel, Python
• Must be legally eligible to work in Canada

Nice to Have:

• Exposure to insurance, real estate, and risk modeling
• Experience working with computer vision models

Why ZestyAI:

• Be a part of a well-funded growth-stage start-up
• Work with a high-performance product team and cutting-edge development team
• Market competitive comp and equity incentives to give you a stake in our future
• Remote-first policy
• Flexible Time Off
• Comprehensive benefits package
• Home office setup stipend
• Annual Learning and Development allowance
• An upbeat and collaborative work culture
• Company-sponsored outings and offsites

Key Responsibilities

Skills, Knowledge and Expertise

Key Responsibilities

Skills, Knowledge and Expertise

Preferred Skills

Location: Calgary Headquarters

Position Type: Full time, salaried

Reports to: VP, Customer Success

About Orennia

Orennia provides an all-in-one platform for accurate data, predictive analytics and actionable insights across the energy transition. We drive faster capital allocation decisions and help our clients maximize returns across the solar, wind, storage, power, RNG, CCUS, clean fuels and hydrogen sectors. The technology that powers Orennia’s platform delivers an unparalleled experience, distilling information into actionable insights to give our clients a competitive edge.

As the world decarbonizes its energy stack, trillions in capital need to be deployed. Global investment in the energy transition must quadruple to over $5 trillion annually to stay on the 1.5°C pathway, according to the International Renewable Energy Agency. Without accurate data and predictive analytics, developers and investors will struggle to deploy capital efficiently and maximize returns. Orennia’s platform expedites the energy transition with effective and robust information for smarter capital allocation choices.

Why Join Orennia?

People are at the heart of the best technology companies. We’ve brought together some of the industry’s top experts and brightest minds in data orchestration, analytics, software development, and industry insights to uncover opportunities where others can’t. At Orennia, you’ll become part of a collaborative culture and do work that matters. We trust and support each other, ask hard questions and solve complex problems together. Guided by a spirit of inquiry, our team has a product-driven, continuous delivery mindset to drive our innovation forward.

The Opportunity 

As a Client Solutions Associate, you will forge strong relationships with our clients to empower them as they adopt Orennia’s platform and help to develop client engagement and retention approaches to support the growth of Orennia. Reporting directly to the VP, Customer Success you will have the opportunity to work across departments, levels, and with a variety of experts and perspectives, to allow you to gain a variety of experiences before working hands on with our client base on the customer success team. During your first 6-8 months of onboarding, you will join the Analytics team and contribute to market analysis in the renewables, power, CCUS, hydrogen and renewable fuels sectors, develop advanced analytical models that leverage large data sets to provide insights to our clients, and work closely with our clients to create customized solutions to their most pressing and complex problems.  Our people are passionate and have a strong belief in our mission. Our efforts impact individuals and communities, all the while working toward a net-zero future.

If you’re hungry for opportunity, growth, and something meaningful in a dynamic, fun and challenging environment, we’d love to hear from you.

What You’ll Do

• Be an integral part of the Orennia account team that contributes towards growth and retention through contribution of account planning activities and tailored engagement plans. This may include but won’t be limited to providing front line customer support, product training, onboarding new users, triaging technical requests and maintaining consistent engagement with our client.
• Lead training sessions to ensure Orennia’s portfolio is embedded, and the active user base is growing by meeting user needs.
• Develop key relationships with customers to increase our active usage, user count and, ultimately, overall engagement.
• Act as a first point of contact for user questions and liaise internally to ensure we deliver on our promises to clients. Create follow- up loops with clients to ensure that queries and issues are resolved to their satisfaction.
• Become an Orennia expert with a strong understanding of our offering and our client’s business.
• Proactively seek opportunities to promote relevant content to your clients and to keep them up to date with the latest industry knowledge.
• Engage in commercially focused customer discussions to influence product, service and overall Orennia business development.
• Work with the customer to build customer workflows helping integrate our product into their day- to -day workflows.
• Work closely with our clients to create customized solutions to their most pressing and complex problems.
• Participate in conference calls, virtual and in-person meetings with clients and prospects, leveraging and demonstrating our solutions.
• Go onsite and meet with clients to identify their biggest pain points and identify solutions with Orennia products.

Who You Are

• You have completed a Bachelor's degree in Engineering/ Mathematics/Computer Science/ Finance.
• You have 2-4 years of relevant work experience in the industry or SaaS consulting environment.
• You are a critical thinker. You can connect-the-dots to solve problems and seek out opportunities when the dots don’t even exist yet.
• You are customer centric, with a proven ability to build and maintain strong customer relationships.
• You are fearless with technology, excited to get your hands on new systems and can figure out any kind of software.
• You are a keen, active listener with inquisitive nature - ability to spot opportunities to grow usage of our services.
• You know how to prioritize your work and tasks effectively to achieve best customer outcomes.
• You are hungry to learn and contribute. Our organization is growing, and this role is an exceptional opportunity to grow with us.
• You are excited about working in a fast-paced scale-up environment and embracing change and ambiguity. 

Why You’ll Love Orennia

At Orennia, you'll join a high performing, people-focused team where everyone has a role to play. We offer our regular, full-time employees a competitive total rewards package, comprehensive health, dental and vision benefits, a savings program that includes company matching, and a learning and development budget to master your craft. In addition, we offer generous time off with regular company holidays, paid vacation days and paid sick days.

We thank all applicants in advance for their interest and for taking the time to apply; however, only applicants invited for an interview will be contacted.

Orennia is an Equal Employment Opportunity (EEO) employer. We are committed to creating a diverse and inclusive workplace where all employees and applicants are treated fairly and with respect, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, marital status, veteran status, or any other characteristic protected by applicable provincial, federal, state, or local law. We believe in fostering a work environment that promotes equal opportunities for all individuals and strive to eliminate any barriers to employment and advancement. We are dedicated to providing equal opportunities in hiring, promotions, compensation, benefits, training, and all other aspects of employment. At Orennia, diversity, inclusion, and fairness are not only important values but also critical to our success as an organization. We encourage all qualified individuals to apply and join us in our mission to create a workplace that reflects the diverse communities we serve. Please contact a member of our people & culture team (hr@orennia.com) should you require accommodations.