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Position: SEO Content Writer Job Type: Full-Time Location: Remote Job Overview We are looking for a creative and data-driven SEO Content Writer who can create engaging content for websites, blogs, Instagram, YouTube, and other digital platforms. The ideal candidate should have a strong understanding of SEO, content optimization, audience engagement, and content performance analysis. Key Responsibilities 1)Write SEO-friendly blog articles, website content, and landing page copy. Create engaging captions, content ideas, and scripts for Instagram, Facebook, and other social media platforms. 2)Develop YouTube video titles, descriptions, tags, scripts, and SEO strategies. 3)Conduct keyword research and competitor content analysis. 4)Optimize content for search engines to improve organic traffic and rankings. 5)Analyse content performance using Google Analytics, Search Console, YouTube Analytics, and social media insights. 6)Suggest content monetization strategies to increase traffic, engagement, and revenue. 7)Create content calendars and maintain consistent publishing schedules. 8)Collaborate with designers, video editors, and marketing teams to execute content strategies. Required Skills 1)Strong written English skills with excellent grammar. 2)Knowledge of SEO fundamentals, keyword research, and on-page SEO. 3)Experience with content writing for blogs, websites, social media, and YouTube. 4)Understanding of content monetization strategies and audience growth techniques. 5)Familiarity with tools such as Google Analytics, Google Search Console, YouTube Studio, Canva, SEMrush, Ahrefs, or similar tools. 6)Ability to analyse content performance and provide improvement recommendations. Preferred Qualifications Bachelor's degree in Marketing, Journalism, English, Mass Communication, or related field. Prior experience in SEO content writing, digital marketing, or content strategy. Experience managing content for multiple platforms is an added advantage. Interested C

About us: Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. About the role: As a Data Scientist, your role will encompass: Conducting ambitious projects in the transformation of clients through data Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department Among your responsibilities as a Data Scientist, you will be responsible for: Performing data projects Securing delivery on your projects Communicating your work and achievements among the team Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Ensuring that your solutions are bringing values to the client problematic Being a good team player, knowing your role and responsibility in the global ambition Qualifications: Education & experience

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! AI is changing the way consumers discover, evaluate and choose businesses online and Trustpilot is at the centre of that shift. Our reviews are increasingly becoming a trusted source for AI, with Trustpilot ranking as the fifth most cited page on the internet by ChatGPT in January 2026. As an Account Executive at Trustpilot, you’ll play a key role in helping businesses build trust and turn it into growth. You’ll own new business development across the Dutch market, working with companies to understand their challenges, uncover opportunities, and show them how Trustpilot can help them build credibility, strengthen their reputation, and win more customers. What you’ll be doing: Proactively build relationships and seek new business opportunities Generate new business opportunities with prospective clients by targeting various verticals Take ownership of the full 360 sales cycle (generating leads, demonstrating the product, pricing, negotiation and closing) Illustrate the value of Trustpilot products and software solutions to demonstrate growth opportunities and return of investment Compile and analyse data to present trends to prospects and clients Work closely with your colleagues in Customer Success, Partnerships, Sales development and management to ensure that you offer the best solution to our customers Build a healthy pipeline to ensure that you’re always exceeding your targets Who you are: Fluent in Dutch along with English working proficiency +3 years experience in a similar full cycle sales role in SaaS and tech Experienced in MEDDIC/MEDDPICC History of consistently reaching targets in a similar capacity over the past few years D

Overview: The Insights product is a new offering for Guidepoint's Institutional investment and corporate clients, that offers teleconferences, surveys, and in-person events. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e., private equity/hedge fund), sell-side equity research analysts, and industry professionals. Visit Insights team biographies at https://www.guidepoint.com/insights/#team . What You’ll Do: Work closely with the Insights team to execute teleconferences that will cover a wide range of sectors including tech/media/telecom, consumer, industrials/materials/energy, healthcare and financials Proactively monitor pipeline of upcoming call topics so experts can be identified or selected 1-2 weeks before scheduled call date Utilize the phone, LinkedIn, and outreach to recruit new Advisors to join the Guidepoint network and communicate with potential experts to answer questions or discuss/verify their credentials Recruit new advisors to join the Guidepoint network, using a variety of outreach tools and resources provided. Communicate with potential experts via phone to answer questions or discuss/verify their credentials Develop effective screening criteria for experts to test knowledge of subject matter; Review responses to screening questions from experts to gauge sufficient knowledge of subject matter Finalize scheduling and call logistics details directly with experts What You Have: Bachelor’s degree or higher with strong academic record is required 1-2 years of work experience in pre-sales/ sales/ client service/ customer support/ BPO/ lead generation Prior experience in cold calling and sending cold emails, generating leads would be great Excellent communication and interaction skills, including demonstrated

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com . About This Role Appier is looking for a PR Manager to drive corporate communications across Greater China, serving as the strategic voice with media, stakeholders, and partners, and shaping our reputation through storytelling, media relationships, and issue management. Who We're Looking For We're looking for a proactive communicator who crafts compelling AI stories, builds impact across media channels, and thrives in fast-paced, cross-functional environments. Responsibilities: Own the GCR PR strategy end-to-end, from brand narrative and messaging architecture to campaign execution and performance measurement. Serve as media contact and spokesperson coach, securing high-impact coverage and executive interviews with top-tier business, tech, and trade publications. Craft and oversee corporate announcements, press releases, bylines, and thought leadership content that position Appier's AI expertise and business milestones. Partner cross-functionally with Global Comms, Sales, CSMs, Marketing, Product, and AI Research teams to align regional messaging with company wide priorities. Build and manage a network of journalists, analysts, and industry influencers to drive proactive, always-on media buzz. Track media coverage and translate it into share-of-voice and sentiment metrics, delivering actionable insights that inform PR strategy. Support crisis com

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are hiring for a leader for the newly forming Detection and Response team at Plaid. Our mission is to protect Plaid's financial infrastructure by detecting and responding to suspicious activity across the company. We are responsible for the entire lifecycle of detection and response, including detection infrastructure, AI triage and response, investigation tooling, Red Teaming, and Fraud Operations. Security is foundational to the trust thousands of businesses and millions of consumers place in Plaid, and we work directly to reduce risks and enable our business to move faster and safer. As the Head of Detection and Response, you will be the founding leader responsible for standing up and evaluating Plaid's detection and response team. You will lead a specialized technical team of analysts and engineers, gain deep experience partnering with the CISO and cross-functional engineering leaders, and build critical security infrastructure at scale. This is a unique leadership opportunity to manage a team that encompasses traditional security operations alongside Red Teaming and Fraud Operations, directly impacting Plaid's security posture and long-term stability. Responsibilities: For

SEO Content Director Who we are Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in digital marketing and data consulting are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state-of-the-art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Reports to: Head of SEO About the SEO Team 20+ strong SEO team based in London and Cornwall, UK We are a close-knit team who work hard but also have a lot of fun Although we have a hierarchy, we like to operate in an open and inclusive way No idea or question is a bad one - if you want to see change, then be the change, and if you want to make something happen, just say! The team is made up of SEO generalists, technical SEO experts, SEO content writers and Digital PR specialists We have great collaboration between our main London office and our satellite Cornwall office. Last year we went on a trip to Cornwall together - we surfed, walked and had fun. These trips aren’t mandatory, so if they’re not for you that’s ok too! We work with clients across automotive, luxury fashion, travel, charity, technology sectors and more! The DEI team at Artefact is led by two members of the SEO team - DEI is very important to us Main

Account Manager - Retail Media Location - London Hybrid working pattern Who we are Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state-of-the-art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. The Retail Media and Analytics department is a digital media and ad tech consultancy team supporting international brands across programmatic advertising, retail media, analytics and marketing technology. Reports to Account Director Purpose of the Role As an Account Manager - Retail Media, you will manage a portfolio of retail media international clients while delivering high-quality campaign strategy and execution across Amazon Ads. You will act as the main day-to-day contact for selected clients, translating their commercial objectives into effective Sponsored Ads and Amazon DSP strategies. This is a hands-on role combining campaign management, client communication, performance analysis and commercial account development. You will also support the continued growth of our Retail Media business and our strategic partnership with Amazon. Key Responsibilities Client and Account Management Act as the main day-to-day contact for selected retail media clients. Build strong client relationships and develop a clear understanding of their business, e-commerce and commercial objectives. Lead regular client calls, performance reviews and campaign-planning sessions. Communicate campaign performance, opportun

About the Team Product Management in Meesho closely resembles our rapacious growth. Because we obsess over understanding customer behaviour, we’ve been able to carve out an e-commerce niche in Tier 2/3/4 towns in Bharat. Our business growth is testimony to a singular focus on how we think of ‘product’ for our unique customers - ones that have barely shopped online, but are now able to because of Meesho. Fun fact: Nearly 5% of India’s households shop with us. 😉 As a Group Product Manager in our team, you will collaborate with Developers, Product Managers, Designers, Data Scientists, and Engineers. We are driven by a ‘user-first’ mindset. We have a strong bias for action. Above all, our PMs are driven by impact, not features. We drive ‘problem discovery’ & delivery - not only obsess over “what to build”, but execute with rigour to create impact. But there’s more – we love to have fun as much as we love to work hard. From movie buffs, to sportspersons, we have a super cool team. So, if a game of badminton after a day of brainstorming at work sounds like something you would love to do, then join us! About the Role We are looking for the right person to lead our talented bunch of Product Managers, Senior Product Managers and Product Analysts. As our Group Product Manager, you will further act as a cross-functional leader. You will influence senior stakeholders across teams such as Engineering, Design, Category Management, Marketing, Operations, and Finance to bring a new product to life. What will you do Define a compelling product vision and strategy for your Org, and influence other functional leaders/teams Adopt a structured approach to identify what problems need to be solved first and break them down into smaller chunks Facilitate a process to come up with the best technology-led ideas to solve the prioritised problems Experiment with multiple ideas and test them using MVPs, prototypes, etc. Ensure high product

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern ML stack (PyTorch and/or

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g