24Nov

Software Developer at IBM – Bangalore, IN


Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.

Your Role and Responsibilities
As a software developer you will be responsible for Design, develop, implement, automate, deploy, and operate enterprise quality cloud-native software using a microservice architecture through agile development practices.
Lead and mentor other developers on your team.
Perform design and implementation reviews for other developers on multiple projects.
Regularly develop automation testing and maintenance of microservices.
Handle the operations of services deployed on the cloud. Prepare, write, or review technical documentation, such as content to be included in the product documentation and training materials.
Prepare and present technology architecture/design and demos at playback meetings to show progress and solicit team direction.
Assist customers and other IBMers to effectively use our products and learn from their experiences.
Identify and recommend improvements that can be made to continuously evolve and improve.

Required Technical and Professional Expertise

  • 6 + Years of strong development experience in cloud native reactive applications in Java
  • Expertise in OOPS /Design patterns
  • Strong development experience with REST API based microservices development
  • Working Knowledge in DB/SQL
  • Working knowledge in Container technologies: Kubernetes, Docker
  • Excellent verbal and written communication skills with the ability to present complex technical information
  • Self-starter, organized, willing to learn and solve things on your own
  • Ability to work effectively as part of a world-wide, agile development team
  • Proven track record of being able to own development projects from design through implementation and delivery
  • Team-mindset: Willingness to collaborate and iterate
  • Growth-mindset: Willingness to learn new technologies and processes
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline

Preferred Technical and Professional Expertise

  • Development experience in Python , Scala , Spark/SparkMLib , UNIX shell scripting and machine learning
  • Agile Application Development & Scrum methodologies
  • Experience with Public Cloud Services (AWS, Azure, IBM Cloud)
  • Good debugging skills and troubleshooting be able to participate in Quality and Automation of the product as needed as Quality is very integral to the product
  • Experience with DevOps practices

Key Job Details
Role:Software Developer Location:Bangalore, IN Category:Software Engineering Employment Type:Full-Time Travel Required:No Travel Contract Type:Regular Company:(0063) IBM India Private Limited Req ID:739602BR



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23Nov

Intern Hue Full Stack Engineer – Data Platform at Signify – Eindhoven – HTC 07


Job Title

Intern Hue Full Stack Engineer – Data Platform

Job Description

We’re looking for a Hue Full Stack Engineer Intern to join our R&D Hue Connected team in Eindhoven.

Working for Signify means being creative and adaptive while working in a fast-paced company. Our culture of continuous learning and commitment to diversity and inclusion creates an environment that allows you to build your skills and career while transforming our industry.

As the world leader in lighting, we’re constantly ahead of the curve. Through our leadership in connected lighting and the Internet of Things, we’re breaking new grounds in data analytics, AI, and smart homes, offices, cities and more!

Signify is one of the few companies in the world to achieve carbon neutrality and our next sustainability goals are even bolder: doubling our positive impact on the environment and society by 2025.

As a Hue Full Stack Engineer Intern, you’ll have a great opportunity to gain knowledge and hands-on experience building a state-of-the art big data platform and data processing pipelines. You will have the opportunity to work alongside with our data engineers at the largest Lighting IoT company in the world, contributing to the design and implementation of a big data platform which is the able to support our business analysts, data scientist and is the foundation of our AI/ML use cases.

We’re on the lookout for forward-thinking innovators with a passion for sustainability. If you match this description, get in touch!

What you’ll do

  • You’ll be a part of R&D team in Eindhoven and work on data use-cases.

  • You’ll build a serverless big data platform with support for AI/ML.

  • You’ll design and implement streaming data pipelines with real time analytics.

  • You’ll innovate, explore and implement propositions on data analytics and Machine Learning.

  • You’ll be actively participating in our virtual intern network where you’ll be working on business cases, personal development and building your internal network.

Your qualifications

  • You are finalizing a Bachelors or Masters degree in the field of Computer Science / Software Engineering.

  • You are passionate about software engineering and big data.

  • You are highly skilled in Python 3.x programming and JavaScript (TypeScript) programming.

  • You are very Knowledgeable with AWS services and common design patterns.

  • Ready to learn on the job and not required to do a thesis.

  • Available for minimum 6 months.

What you’ll get in return…

  • Internship allowance: the exact amount depends on your situation (also towards rented accommodation or public transportation).

  • Paid leave on the basis of 1 day per month.

  • Extensive set of tools to drive your career, such as a personalized learning platform.

  • Opportunity to purchase products in the staff shop (MyShop) at reduced prices.

We’re offering multiple opportunities for career development, like mentoring, coaching and stretch assignments, with strong international exposure for dynamic profiles. Learning is fundamental to our culture. Through continuous learning, we are transforming the industry. You have the chance to learn every day, acquire new skills and perspectives through customized online programs, and on-the-job experiences.

See #SignifyLife through the eyes of our employees!

What we promise

We’re committed to the continuous development of our employees, using our learning to shape the future of light and create a sustainable future. Join the undisputed leader in the lighting industry and be part of our diverse global team. #WeAreSignify #SignifyLife



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23Nov

Building Sustainable Algorithms: Energy-Efficient Python Programming | by Ari Joury, PhD | Nov, 2024


6 techniques for reducing the computational cost of Python algorithms

You can get your Python performing better by using these techniques. Image generated with Leonardo AI

A junior software developer shall be forgiven for being happy when their code works. If that’s you, I do not judge you.

However, if you are ready to get to the next level of building software with Python, your code should not just run and pass some tests. It should also be written with the available computing resources — and the energy bill — in mind.

Every inefficient loop, poorly chosen data structure, or redundant computation burns more electricity than necessary. Unlike C, for example, where you must reserve bits from your disk for each new variable you create, Python will consume resources as it sees fit. This makes it extremely beginner-friendly, but also rather energy-intensive when used wrong.

Sloppy algorithms are not just bad for the performance of a code. They are bad for the planet, too. Software companies like Microsoft are struggling to keep their carbon emissions low because of all of the energy they consume for AI and other tasks. At the same time, sustainability is a growing concern. Sustainability-minded programmers are therefore becoming a valuable resource for many companies.



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23Nov

Trust and Safety Product Specialist at Google – Austin, TX, USA; Kirkland, WA, USA


Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience in data analytics, Trust and Safety, research, risk and fraud investigation.
  • Experience with SQL or Python.

Preferred qualifications:

  • Master’s degree in Operations/Management Science, Computer Science, Engineering, Mathematics, or relevant fields.
  • Experience in Trust and Safety teams including investigation, analysis or operations.
  • Experience working with Large Language Models (LLMs) or applied AI.
  • Experience designing or troubleshooting tools and features for users.
  • Ability to mine and analyze large data sets.
  • Excellent problem-solving skills with attention to detail in an ever-changing environment.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you’re a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed – with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

As a Product Specialist, you will promote trust in Google and ensure user safety on this team. Your main focus is developing capabilities, tools, and Artificial intelligence for fighting and detecting abuse on our platforms. You will understand the user’s point of view and are passionate about using your Business and Technical acumen to protect our users. You will work globally and cross-functionally with Google developers and Product Managers to navigate challenging online safety situations and manage abuse and fraud issues at scale on Products.

In this role, you will lead complex, multi-disciplinary projects. You will plan requirements with internal customers and usher projects through the entire project life-cycle. This includes managing project schedules, identifying risks and clearly communicating goals to project stakeholders.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

The US base salary range for this full-time position is $117,000-$172,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Design, test, and deploy Trust and Safety capabilities and investigation tools. Collaborate closely with engineering to deliver scaled solutions for Trust and Safety users.
  • Operationalize new product and Tool launches to support the scaling of Trust and Safety user protection, including understanding AI/Large Language Models can be applied to scale our abuse fighting efforts.
  • Maintain up-to-date project reports, track issues and provide stakeholders with timely reports and other information derived from program data. Be responsible for the life-cycle of project deliverables.
  • Coordinate, collaborate and influence across functions and teams within Trust and Safety. Prioritize and manage projects and deliverables effectively, and quickly adapt projects to changing processes and requirements. Advocate and represent Trust and Safety equities with stakeholder groups.
  • Resolve complex product and process issues for multi stakeholder groups with tight timelines.



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23Nov

Senior Economist, Device Economics at Amazon.com – Seattle, Washington, USA


Device Economics is looking for a senior economist experienced in causal inference, machine learning, empirical industrial organization, and scaled systems to work on business problems to advance critical resource allocation and pricing decisions in the Amazon Devices org. Senior roles lead vision setting, methods innovation, and act as thought leaders to Devices finance and business executives. Output will be included in scaled systems to automate existing processes and to maximize business and customer objectives.

Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches and new marketplace launches. The Device Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this through scientific applications that provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, investments in future product categories, and product pricing and promotion. We have achieved substantial impact on the Devices business, and will achieve more.

Device Economics seeks an experienced economist adept in measuring customer preferences and behaviors with proven capacity to innovate, scale measurement, drive rigor, and mentor talent.

The candidate will work with Amazon Devices science leadership to refine science roadmaps, models, and priorities for innovation and simplification, and advance adoption of insights to influence important resource allocation and prioritization decisions. Effective communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.

Basic Qualifications

– PhD in economics or equivalent
– Experience in industry, consulting, government or academic research

Preferred Qualifications

– Experience in analytics and applied economics
– Experience in developing and executing an analytic vision to solve business-relevant problems
– Experience in building statistical models using R, Python, STATA, or a related software

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.



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22Nov

Principal Model Governance at Discover – Riverwoods, IL


Discover. A brighter future.

With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world’s leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.

Come build your future, while being the reason millions of people find a brighter financial future with Discover.

Job Description:

What You’ll Do

  • Responsible for setting up the policy, procedures and standards for all aspect of managing model risk including ML, AI, GenAI risk. Partners closely with model validation team leaders as well as leaders of various model development and model usage teams to manage the enterprise model governance framework, policies and procedures. Works under minimal supervision.

  • Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.

How You’ll Do It

  • Maintains model risk management infrastructure including model inventory, model performance KRIs, model risk events, model risk findings and actions etc. Leads the efforts in standardization, automation, workflow management. Contribute in enhancing current process for model validation.

  • Maintains status updates, and facilitate resolution/escalations of issues in a timely fashion. Creates periodic analytical and updates presentations and reports for senior management, executive management, risk committees and for regulatory exams. Supports management in developing, maintaining and monitoring model Key Risk Indicators, assesses aggregate model risk and periodically reports risk to Model Risk Committee and ensures emerging risk are addressed.

  • Creates and executes project work plans and collaborate with various teams in Finance (Strategy Planning & Treasury), Credit Risk, Marketing, IT etc. for Credit Card, Consumer Lending, Network and Banking Businesses to execute the objectives of the model governance program.

  • Analyzes complex quantitative models and the risks and controls around their usage. Establishes model performance thresholds and monitor model performance within acceptable thresholds.

  • Interacts with the external regulators and internal auditors to demonstrate the operational soundness and effectiveness of the model governance policy.

  • Interfaces with business partners in Finance, Treasury, IT, Credit Risk, Marketing for Card, Consumer Lending, Network and Banking Businesses.

Qualifications You’ll Need
The Basics:

  • Bachelor’s degree in Analytics, Engineering, Statistics, Mathematics, or related field.

  • 4+ years of experience in Model Risk Management, Model Governance, Model Validation, Compliance or Related

Physical and Cognitive Requirements
The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws:

  • Primarily remain in a stationary position.

  • No required movement about the work environment to complete the major responsibilities of the job.

  • Primarily performed indoors in an office setting.

  • Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator.

  • Ability to communicate verbally.; Ability to communicate in written form.

  • Travel up to 10% of the time.

Bonus Points If You Have:

  • 1+ years of building, testing, implementing and validating complex econometric and statistical models, or related experience.

  • SAS, SQL, Tableau.

Discover will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.

Application Deadline:

The application window for this position is anticipated to close on Nov-26-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.

Compensation:

The base pay for this position generally ranges between $88,500.00 to $149,300.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.

Benefits:

We also offer a range of benefits and programs based on eligibility. These benefits include:

  • Paid Parental Leave

  • Paid Time Off

  • 401(k) Plan

  • Medical, Dental, Vision, & Health Savings Account

  • STD, Life, LTD and AD&D

  • Recognition Program

  • Education Assistance

  • Commuter Benefits

  • Family Support Programs

  • Employee Stock Purchase Plan

Learn more at mydiscoverbenefits.com.

What are you waiting for? Apply today!

All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.

Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights & Pay Transparency Nondiscrimination Provision)

Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email

Hi***************@di******.com











. Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.



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22Nov

The Evolution of AI Agents & Agentic Systems | by Cobus Greyling | Nov, 2024


Cognitive Architectures: Episodal Memory refers to the ability to store and recall specific events or experiences, like remembering a recent conversation.

Semantic Memory stores general knowledge about the world, such as facts and concepts.

While episodal memory is dynamic and context-dependent, semantic memory is more stable and involves understanding abstract, generalised information.

Action Space: The AI Agent operates within a dual-action framework. Internal actions involve processes like reasoning, planning, and updating its internal state, while external actions involve interactions with the environment, such as executing commands or providing outputs.

Decision-Making Procedure: The agent’s decision-making is organised as an interactive loop consisting of planning and execution. This iterative process allows the agent to analyse its environment, formulate a strategy, and act accordingly, refining its approach as new information becomes available.

These elements collectively define the operational framework of an AI agent, enabling adaptive and efficient behaviour in complex environments.

AI Agents operate within diverse environments that enable them to interact and execute tasks. Currently, these environments are primarily digital, including mobile operating systems, desktop operating systems, and other digital ecosystems.

In these settings, AI Agents can engage with games, APIs, websites, and general code execution, utilising these platforms as a foundation for task execution and knowledge application.

Digital environments provide an efficient and cost-effective alternative to physical interaction, serving as an easy supervised and cost-effective way to develop and evaluation of AI Agents.

Practical Examples

For example, in natural language processing (NLP) tasks, digital APIs — such as search engines, calculators, and translators — are often packaged as tools within the operating system, designed for specific purposes.

These tools can be considered specialised, single-use digital environments that allow agents to perform tasks requiring external knowledge or computation.

As AI Agents continue to evolve, their presence in digital environments will expand beyond static interaction, laying the groundwork for more complex systems.

The future of AI Agents lies in their physical embodiment, where they will operate in real-world environments. This transition will open up new possibilities for AI, enabling agents to interact physically with the world, navigate dynamic spaces, and take on roles in fields such as robotics.

The shift from purely digital environments to physical ones represents a significant step forward, as it will require AI Agents to integrate sensory data, physical actions, and context-aware decision-making, further enhancing their capabilities and applications.

What stands out in this study is its detailed analysis of the evolving frameworks built around LLMs to maximise their potential. It highlights how these structures are both internal and external, working in tandem to enhance their capabilities.

Internally, the focus is on reasoning, which forms the core of the model’s intelligence and decision-making processes. Externally, the journey began with data augmentation, enabling the integration of additional information.

Over time, these external frameworks have expanded to include direct interaction with the outside world, further extending the functionality and adaptability of LLMs.

Chief Evangelist @ Kore.ai | I’m passionate about exploring the intersection of AI and language. From Language Models, AI Agents to Agentic Applications, Development Frameworks & Data-Centric Productivity Tools, I share insights and ideas on how these technologies are shaping the future.



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22Nov

Staff Product Manager, AI at Clio – Burnaby


Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

Clio is more than just a tech company–we are a pioneer in legal technology with a mission to transform the legal experience for all. At Clio, you will have the unique opportunity to shape the future of legal technology, leveraging the momentum of our explosive growth and our position as a leader in the industry. With our recent valuation of $3B, Clio is the global operating system for law firms, empowering over 150,000 legal professionals across 130 countries. Our AI investments are at the forefront of our product innovation, supported by a world-class team of machine learning engineers, product designers and managers, who are pushing the boundaries of what’s possible in legal tech. We are bettering the lives of legal professionals with technology solutions that make legal work more efficient, seamless, and effective, contributing towards increased access to justice

Summary:

As the Staff Product Manager for AI, your role will be pivotal in defining and executing AI strategies that fuel Clio’s continued growth and cement our leadership in the legal technology space. You’ll lead the charge in creating AI-driven products and features that simplify complex legal workflows, improve productivity, and unlock transformative insights for legal professionals. With the backing of a fast-growing, high-performing team and a strong hold on the legal market, this is your chance to make an outsized impact in an industry undergoing rapid digital transformation.

This role can be performed from one of our Canadian offices, or remotely from the US or Canada or a combination of both. Some exceptions may apply.

What You’ll Do

Define and Execute AI Product Strategy

  • Own the vision, strategy, and roadmap for AI-powered products and features, aligning them with Clio’s overall business goals.

  • Translate complex AI capabilities into intuitive, high-value solutions for legal professionals, enhancing productivity, accuracy, and client outcomes.

  • Collaborate with engineering, data science, design, and legal experts to deliver domain-specific AI solutions that solve pressing industry challenges.

Deliver Measurable Impact

  • Drive adoption of AI features across Clio’s products by identifying clear customer use cases and integrating them into existing workflows.

  • Develop metrics to measure the success of AI capabilities, such as improvements in efficiency, user adoption, and retention.

  • Create processes to ensure continuous learning and iteration, leveraging feedback and data to improve performance.

Collaborate Across Teams

  • Partner with cross-functional teams to integrate AI seamlessly into Clio’s core platform, including features like document generation, legal chat assistant, recommendation engines, marketing automation, auto timetracking, hybrid search, RAG, predictive analytics, and more. 

  • Work closely with leadership to align AI priorities with company goals and communicate product successes and opportunities.

  • Engage with external stakeholders, including legal professionals and industry experts, to refine use cases and validate product-market fit.

Lead the 0-to-1 Development of AI Initiatives

  • Take AI projects from concept to scale, focusing on key outcomes like enhancing legal workflows and enabling predictive decision-making.

  • Guide the development of AI-powered capabilities that deliver a competitive edge while maintaining high standards for privacy, security, and compliance.

Experience and Skills

  • 8+ years of product management experience, with 5+ years in AI/ML-based products.

  • Proven track record of delivering AI features that incorporate technologies such as LLMs, NLP, generative AI, and predictive analytics.

  • Strong understanding of the AI product lifecycle, including ideation, prototyping, production deployment, and monitoring.

  • Exceptional Analytical Skills: Proven ability to synthesize complex data and translate it into actionable product strategies and priorities.

  • Critical Thinking: Adept at identifying underlying problems and opportunities, even in ambiguous or rapidly evolving scenarios, and framing them in a structured, actionable way.

  • Data-Driven Decision Making: Expertise in leveraging data to validate hypotheses, measure success, and inform product direction.

  • Market Analysis: Deep understanding of AI industry trends, competitive landscapes, and emerging technologies to ensure Clio remains at the forefront of innovation.

Strategic Leadership

  • Demonstrated ability to align AI initiatives with broader company objectives, balancing technical possibilities with customer impact.

  • A strategic thinker with a customer-first mindset, capable of identifying opportunities where AI can deliver measurable value.

  • Experience working with cross-functional teams and leading through influence in a dynamic, fast-paced environment.

  • Strategic Prioritization: Ability to balance short-term deliverables with long-term strategic goals, ensuring alignment with Clio’s mission and objectives.

Mindset and Approach

  • Curious and adaptable, with a willingness to navigate ambiguity and drive clarity in complex projects.

  • Strong communication skills, capable of simplifying technical concepts for diverse audiences, including executives, engineers, and customers.

  • Passionate about leveraging AI to solve real-world problems, with a deep commitment to improving legal workflows and access to justice.

Bonus points if you have:

Legal Tech Acumen:

  • Strong understanding of legal tech trends, compliance standards, and industry regulations.

  • Ability to bridge the gap between legal requirements and technological solutions.

Product at Clio

Our market opportunity is rare in its scale and powered by a strong business model, world-class investors and advisors and a product management team which is global and world-class (if we do say so ourselves)! Clio is growing rapidly with massive growth opportunities for Product Managers. 

Speaking of product at Clio… we’ve worked hard to develop an excellent product management culture with empowered PMs who are highly regarded and influential within the organization. Our team is composed of seasoned professionals from a diverse set of product backgrounds. Clio invests heavily in developing Product Managers, growing leaders and in the broader Product communities in which we operate.

We pride ourselves on being ‘human and high performing’ and creating a workplace where you can be challenged, supported and bring your whole self to work.

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.
 

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance 

  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day. 

  • Flexible time off policy, with an encouraged 20 days off per year.

  • $2000 annual counseling benefit

  • RRSP matching and RESP contribution 

  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years​

The full salary range* for this role is $152,100 to $190,100 to $228,100 CAD..

*We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility 

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers



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22Nov

Director, Tech Lead at Prudential Financial – Wash, 213 Washington St., Newark, NJ


Job Classification:

Technology – Engineering & Cloud

Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability, and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions.

Your Team

As a Director, Tech Lead for Corporate Technology (CT), you will work with product owners to lead the critical technology strategy for the financial accounting and reporting area. Specifically, you will lead a team of engineers, while contributing with a hands-on approach to deliver business solutions. You will partner with business teams, other tech leads in CT, and bring technology innovation to the reporting and accounting area.

Here is What You Can Expect on a Typical Day

  • Build, manage, and support Prudential’s Accounting, Reporting and corresponding tools.
  • Partner with your product owner to establish key technical delivery plans, in alignment with a strategic roadmap.
  • Provide technical expertise as it relates to the application under your management.
  • Manage a team of engineers to build and manage a robust solution, and contribute hands-on in the development, testing, and operations of the systems.
  • Provide guidance in reducing tech debt by eliminating redundancies and bringing consistency across your portfolio.

The Skills & Expertise You Bring  

  • Significant experience in Essbase, Oracle BI, Power BI, and Tableau.
  • Technical experience in
    • Application Development and Automation
      • Oracle, SQL server and  Redshift
      • Python, NodeJS, Angular, ReactJs, etc.
      • Autosys, ETL, API’s etc.
      • Design apps on cloud using EKS, ECS etc.
    • DevOps and CI/CD
    • Production operations and incident response for a global high-volume platform
  • Understanding of GAAP and STAT accounting and Reporting systems.
  • Deep cloud & infrastructure management knowledge & experience
  • Work with business partners and influence them with strategic solutions.
  • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges.
  • Excellent problem solving, communication and collaboration skills; enjoy learning new skills.  
  • Effective Communication: Understanding of effective communication concepts, tools, and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
  • Decision-Making & Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
  • Interpersonal Relationships: Knowledge of the techniques and the ability to work with a variety of individuals and groups in a constructive and collaborative manner.
  • Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
  • Agile Methodologies: Knowledge of concept and principles of agile methodology; ability to apply appropriate agile approaches in the processes of software development and delivery.

You’ll Love Working Here Because You Can

Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we’ll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You’ll be surprised by what this rock-solid organization has in store for you.

What we offer you:

  • Market competitive base salaries, with a yearly bonus potential at every level
  • Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave
  • Retirement plans:
  • 401(k) plan with company match (up to 4%)
  • Company-funded pension plan
  • Wellness Programs to help you achieve your wellbeing goals, including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs
  • Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
  • Tuition Assistance to help finance traditional college enrollment toward obtaining an approved degree, many accredited certificate programs, and industry designations.
  • Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.

To find out more about our Total Reward package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.

Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $173,500.00 to $234,700.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement.

Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.

Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company’s well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential’s businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services.

We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand.

Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law. 

The Prudential Insurance Company of America, Newark, NJ and its affiliates.

Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at

st**************@pr********.com











for more information about doing business with Prudential.

PEOPLE WITH DISABILITIES:
If you need an accommodation to complete the application process, which may include an assessment, please email

ac***************@pr********.com











.

Please note that the above email is solely for individuals with disabilities requesting an accommodation.  If you are experiencing a technical issue with your application or an assessment, please email

ca**********************@pr********.com











to request assistance.



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22Nov

Solutions Engineer at Databricks – London, United Kingdom


At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You’ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

  • Learn from a Senior Solutions Architect and work with a team to sell Databricks solutions.
  • Promote our platform to the technical community through workshops, events, and partnerships with the Databricks team.
  • Gain hands-on experience by working on technical projects, understanding customer needs, and delivering solutions that solve their problems.
  • Develop technical skills to work on data projects from ingestion to insight creation and prediction.
  • Grow into an independent Senior Solutions Engineer by developing technical and pre-sales skills.

What we look for:

  • Communicate effectively, answer customer questions, align with their interests, and achieve tangible results.
  • Proficiency in a core programming language (i.e. Python, Java, Scala).
  • Foundational level understanding of AWS, Azure, or GCP.
  • Ability to identify and communicate the business value of technical solutions.
  • Excitement for technical discovery, ability to gather requirements through effective questioning, research solutions, and present proofs-of-concept to an audience
  • Nice to have: Databricks Certification

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.





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